{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"svm.ipynb","provenance":[],"collapsed_sections":[]},"kernelspec":{"name":"python3","display_name":"Python 3"}},"cells":[{"cell_type":"code","metadata":{"id":"dB0DTFEcrApK","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1611250993482,"user_tz":-60,"elapsed":28284,"user":{"displayName":"Soufian Benamara","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64","userId":"08596286217915945464"}},"outputId":"92264e1c-4a25-40c4-bbf0-e13e45e8cbe5"},"source":["from google.colab import drive\n","\n","drive.mount('/content/drive', force_remount=True)\n","\n","# enter the foldername in your Drive where you have saved the unzipped\n","# 'cs231n' folder containing the '.py', 'classifiers' and 'datasets'\n","# folders.\n","# e.g. 'cs231n/assignments/assignment1/cs231n/'\n","FOLDERNAME = 'cs231n/assignments/assignment1/cs231n/'\n","\n","assert FOLDERNAME is not None, \"[!] Enter the foldername.\"\n","\n","%cd drive/My\\ Drive\n","%cp -r $FOLDERNAME ../../\n","%cd ../../\n","%cd cs231n/datasets/\n","!bash get_datasets.sh\n","%cd ../../"],"execution_count":null,"outputs":[{"output_type":"stream","text":["Mounted at /content/drive\n","/content/drive/My Drive\n","/content\n","/content/cs231n/datasets\n","--2021-01-21 17:43:05--  http://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz\n","Resolving www.cs.toronto.edu (www.cs.toronto.edu)... 128.100.3.30\n","Connecting to www.cs.toronto.edu (www.cs.toronto.edu)|128.100.3.30|:80... connected.\n","HTTP request sent, awaiting response... 200 OK\n","Length: 170498071 (163M) [application/x-gzip]\n","Saving to: ‘cifar-10-python.tar.gz’\n","\n","cifar-10-python.tar 100%[===================>] 162.60M  44.9MB/s    in 4.1s    \n","\n","2021-01-21 17:43:10 (40.1 MB/s) - ‘cifar-10-python.tar.gz’ saved [170498071/170498071]\n","\n","cifar-10-batches-py/\n","cifar-10-batches-py/data_batch_4\n","cifar-10-batches-py/readme.html\n","cifar-10-batches-py/test_batch\n","cifar-10-batches-py/data_batch_3\n","cifar-10-batches-py/batches.meta\n","cifar-10-batches-py/data_batch_2\n","cifar-10-batches-py/data_batch_5\n","cifar-10-batches-py/data_batch_1\n","/content\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"tags":["pdf-title"],"id":"pAWqq9RerApR"},"source":["# Multiclass Support Vector Machine exercise\n","\n","*Complete and hand in this completed worksheet (including its outputs and any supporting code outside of the worksheet) with your assignment submission. For more details see the [assignments page](http://vision.stanford.edu/teaching/cs231n/assignments.html) on the course website.*\n","\n","In this exercise you will:\n","    \n","- implement a fully-vectorized **loss function** for the SVM\n","- implement the fully-vectorized expression for its **analytic gradient**\n","- **check your implementation** using numerical gradient\n","- use a validation set to **tune the learning rate and regularization** strength\n","- **optimize** the loss function with **SGD**\n","- **visualize** the final learned weights\n"]},{"cell_type":"code","metadata":{"tags":["pdf-ignore"],"id":"yfPnLbOxrApS"},"source":["# Run some setup code for this notebook.\n","import random\n","import numpy as np\n","from cs231n.data_utils import load_CIFAR10\n","import matplotlib.pyplot as plt\n","\n","# This is a bit of magic to make matplotlib figures appear inline in the\n","# notebook rather than in a new window.\n","%matplotlib inline\n","plt.rcParams['figure.figsize'] = (10.0, 8.0) # set default size of plots\n","plt.rcParams['image.interpolation'] = 'nearest'\n","plt.rcParams['image.cmap'] = 'gray'\n","\n","# Some more magic so that the notebook will reload external python modules;\n","# see http://stackoverflow.com/questions/1907993/autoreload-of-modules-in-ipython\n","%load_ext autoreload\n","%autoreload 2"],"execution_count":null,"outputs":[]},{"cell_type":"markdown","metadata":{"tags":["pdf-ignore"],"id":"vLpK5dGwrApT"},"source":["## CIFAR-10 Data Loading and Preprocessing"]},{"cell_type":"code","metadata":{"tags":["pdf-ignore"],"colab":{"base_uri":"https://localhost:8080/"},"id":"pFVXUMuOrApT","executionInfo":{"status":"ok","timestamp":1611251005220,"user_tz":-60,"elapsed":1958,"user":{"displayName":"Soufian Benamara","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64","userId":"08596286217915945464"}},"outputId":"eae89f84-e166-484d-dde7-bcf25b900a7e"},"source":["# Load the raw CIFAR-10 data.\n","cifar10_dir = 'cs231n/datasets/cifar-10-batches-py'\n","\n","# Cleaning up variables to prevent loading data multiple times (which may cause memory issue)\n","try:\n","   del X_train, y_train\n","   del X_test, y_test\n","   print('Clear previously loaded data.')\n","except:\n","   pass\n","\n","X_train, y_train, X_test, y_test = load_CIFAR10(cifar10_dir)\n","\n","# As a sanity check, we print out the size of the training and test data.\n","print('Training data shape: ', X_train.shape)\n","print('Training labels shape: ', y_train.shape)\n","print('Test data shape: ', X_test.shape)\n","print('Test labels shape: ', y_test.shape)"],"execution_count":null,"outputs":[{"output_type":"stream","text":["Training data shape:  (50000, 32, 32, 3)\n","Training labels shape:  (50000,)\n","Test data shape:  (10000, 32, 32, 3)\n","Test labels shape:  (10000,)\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"tags":["pdf-ignore"],"colab":{"base_uri":"https://localhost:8080/","height":475},"id":"AXddpg_irApT","executionInfo":{"status":"ok","timestamp":1611251014588,"user_tz":-60,"elapsed":3363,"user":{"displayName":"Soufian Benamara","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64","userId":"08596286217915945464"}},"outputId":"98cf13d1-f7b2-4aa0-bac8-ddd1a66cf19a"},"source":["# Visualize some examples from the dataset.\n","# We show a few examples of training images from each class.\n","classes = ['plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\n","num_classes = len(classes)\n","samples_per_class = 7\n","for y, cls in enumerate(classes):\n","    idxs = np.flatnonzero(y_train == y)\n","    idxs = np.random.choice(idxs, samples_per_class, replace=False)\n","    for i, idx in enumerate(idxs):\n","        plt_idx = i * num_classes + y + 1\n","        plt.subplot(samples_per_class, num_classes, plt_idx)\n","        plt.imshow(X_train[idx].astype('uint8'))\n","        plt.axis('off')\n","        if i == 0:\n","            plt.title(cls)\n","plt.show()"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAjwAAAHLCAYAAADMcEKmAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nOy9ebTk53nX+Xl/a+13X3vfpdZiybLsyPGS2E5MCE6cQGAgxiQsBzJhwnKYQALMyUBmWIYkAwkETmDgBMgyJGEJyzg2jm3kJY6txbKkVqulvr3f/d66tf2qfss7fzxP/apuu9V9W2qrZaW+5/TpulW/5X3e5Xmf/TXWWkYYYYQRRhhhhBHezHDudgNGGGGEEUYYYYQRvt4YCTwjjDDCCCOMMMKbHiOBZ4QRRhhhhBFGeNNjJPCMMMIII4wwwghveowEnhFGGGGEEUYY4U2PkcAzwggjjDDCCCO86fF1EXiMMd9ijLn89Xj2CK8PjDFLxpgP3OD7dxtjXrgTzxrh9YMx5l8ZY37ybrfj9cCbjVZjzCljzFPGmIYx5kfudnteC0a8YABjzE8YY/7NTX5/1hjzLa9jk94wMMZYY8zxO/3ckYVnhNuCtfZ/WGtP3e123G2MGPcIryN+FPhta23VWvuP7nZjRnh9YK29z1r7qbvdjlfCNyIPHAk8dxnGGO9ut+FO4c1Eywi3xmi8XzccAp690Q/GGPd1bstdx2jevfHxRh2j1yTwqIT3Y8aY54wxW8aYf2mMKdzgur9mjHlJTbLPGWO+Z+i3HzDGPG6M+Qf6jPPGmO8Y+n3MGPMvjDHXjDFXjDE/+UZa5MaYA8aY3zDGrBljNowxP2eMOWaM+aT+vW6M+bfGmPGhe5aMMX/VGPMVoPVGnRzAo9eP7fXuyhvRYoz548aYC0r/X7+L7d8TbncMjTH/GjgI/KYxpmmM+dG7S8HXwhjzsDHmCV1zvwoUhn77A+oi2TbGfM4Y8+DQb4vGmF/Xvjg/7EJRE/yvGWP+jTFmB/iB15WoV8AtaP0zxphzxphNY8x/MsYsDv327caYF4wxdWPMPzHGfNoY86fvChGvAGPMJ4FvBX5O59ovGWN+3hjzX40xLeBbjTH3GmM+peP5rDHmu4bunzLG/KYxZscY87vKPx+/awQJHjLGfEX7/Vf7e8YtxsoaY37YGPMi8KIR/IwxZlVpe8YYc79eG+p+ctEYs2KM+afGmOJdorXf/r+q+1dD59z79afAGPOL+v2zxpi3Dd2TW1CG1t6v6rVPGGPecleI4cY8UMfoTxljLgKfvH6v0PuGaXKNMT9uBrLBl40xB27wrncZYy6ZO+Hes9a+6n/AEvBV4AAwCXwW+EngW4DLQ9d9H7CICFh/BGgBC/rbDwAx8GcAF/gh4Cpg9Pd/D/wzoAzMAl8E/uxrafed+qftfRr4GW1fAXgXcBz4NiAEZoDPAP/3df32lPZb8W7T8RrHdhctwGmgCbxH6f9pIAE+cLdp+jqM4RuVpgC4APwlwAf+kK6xnwQeBlaBdyjtf0JpCXV9fhn43/QZR4GXgQ/qc39Cn/Nhvfauz91b0Po+YB14q9L3s8Bn9L5pYAf4XsAD/oLe96fvNk03oPFT/XYB/wqoA9+sY1AFzgE/rn3xPqABnNLrf0X/lXRtXgIev4u0LCE8fFH5yvPAn7vZWOl9Fvi43lMEPqhzdRwwwL0M9pSfAf6TXlsFfhP4O3eR5lPa74v692HgmK6nCPj9uhb/DvCF6/rqA/q5v/b+kM7zvwKcB/y7PJb99h3WMfpFhI8WuW6vuME9/yvwjPaPAd4CTA2N93Hg92nfvf2OtPkOEPznhv7+/cBLNyL0uvueAr5bP/8AcG7ot5ISOw/MAV2GGCvwRxF/9l0Z5OvoeAxYA7xbXPdh4Mnr+u1P3u3234mxvZ4WZLP8laG/y0CPN65w8FrG8I1K03sYUhr0u88hQsDPA3/7uutfAN6LCEEXr/vtx4B/qZ9/gqFN6I3w7xa0/gvg7w99X0E2jcPAR4HPD/1mlLF+Iwg8vzj027uBZcAZ+u6XdaxcpffU0G8/yd0XeD4y9PffB/7pzcZK/7bA+4Z+fx9wFvim62g3iEJ9bOi7x4Dzd5Hm44iS8QGGBBQdo08M/X0a6FzXV8MCz7Aw5ADXgHff5bG8XuA5OvT7t3BzgecFVA64wbOt8p4LwP13qs13wpVyaejzBURy3wVjzEeBv6ydAjKZp4cuWe5/sNa2jTH9ayYRafaafgcy0MPvvJs4AFyw1ibDXxpj5oB/iDCjKtLmrevufaPQcDPccmxvcN3i8N/W2pYxZuPr0LY7hdcyhm9ULAJXrHIOxQX9/xDwJ4wx/8vQb4HekwKLxpjtod9c4H8M/f1Gm7c3o3UReKL/pbW2qXNxH187T+315vc3ML5mvVlrs6HvLiA0ziDWq0uvcO/dwvLQ5zZCwxSvPFZL+vXweH3SGPNzwD8GDhljfgOxehQQpfnLQ3uGQebxXYG19pwx5i8iQst9xpiPIfshfG1fFIwx3vX8SDFMf6bz9ZV48t3C7cyvA4gS/Ur4i4hw/9XX1qQB7kTQ8rDP7SCibeUwxhwCfgH484i5ahxxlRhujUuIhWfaWjuu/2rW2vvuQLvvBC4BB83XxuD8n4iE+oC1tgZ8hK+l9xvhmPqbju0Qhmm5NnyfMaaEMLM3Kl7tGL6Rx+8asM8McXxk/EDo/T+G1tO4tbZkrf1l/e38db9VrbW/f+g5bzS6b0brVUTAA8AYU0bm4hW9b//Qb2b47zc4hsfgKnDAGDPMyw8iNK4h7uRhur4mRuINgpuNVR+75p619h9Zax9BLCMnERfJOtAB7huaw2PW2srXm4CbwVr7S9badyE0WuDvvYrHDPNVBxnXV+LJrwduxAuGv2shwieQB9jPDP1+CXHtvRK+D/iwMeYvvJZGDuNOCDw/bIzZb4yZBP468KvX/V5GOmENwBjzg8D9e3mwtfYa8FvATxljasYYx0gw6XvvQLvvBL6IMM6/a4wpGwnq/WbEItAE6saYfchC/EbErcb2Rvg14A9ooFkA/C3e2NmAr3YMV5AYlzciPo9sdD9ijPGNMd8LvF1/+wXgzxlj3qGBn2VjzHcaY6pIXzQ0wLKoQYX3G2MevUt07AU3o/WXgR80xjxkjAkRIfZ3rLVLwH8BHjDGfFiF3R9G3OjfaPgdxDLwo0r/twAfQtzKKfAbwE8YY0rGmHsQV94bETcbq6+BMeZRncM+srFGQKaWrl8AfsYYM6vX7jPGfPB1oeLGbT1ljHmf0hUhAll2i9tuhEeMMd+r8/UvIsaAL9zBpt4ubsUDzyIWq+/UcfobSHxWH/8c+NvGmBPKix40xgwrx1eB9wN/wRjzQ3eiwXdiI/olRCh5GTFP7Sr4Za19DvgphDGtAA8gAbB7xUcRk/tziEvh14CF19zqOwBlKB9CfLQXgctIUPb/jgTf1RHG+ht3q42vETcd2xvBWvsssnn8EiJIbCH98obEaxjDvwP8DSOZMX/l9WvxrWGt7SHBuD8AbCL0/Ib+9iUkQeDnkLE5p9f1++IPAA8hAZHrCFMaez3bfzu4Ba2fAP4m8OvIXDwG/E/62zqiQf59YAOxEnwJ2US+YaD0fwj4DmS8/gnwUWvtGb3kzyPjtwz8a0SweMPReLOxegXUEMFmC3HhbQD/l/72V5F5/QUj2YSfQAJj7xZC4O8i47OMJN/82Kt4zn9E5vcW8MeB77XWxneqka8COQ9Egql3wVpbB/5nhIdcQQTT4b3gp4H/F9ljdpA4ruJ1z7iICD1/zdyBDMp+JtSru9mYJSSY7hOvtSEjjDDCCHcL6iK4DHy/tfa373Z7vl4wxvw9YN5a+yfudltG2DuMMT8BHLfWfuRut+UbGW9kV8MII4wwwtcNxpgPGmPG1dXw40iM1t10EdxxGGPuUVeBMca8HfhTSKmPEUb4PYc3asG7EUYYYYSvNx5DXK99l/mHrbWdu9ukO44q4sZaREIKfgpxjYwwwu85vCaX1ggjjDDCCCOMMMI3AkYurRFGGGGEEUYY4U2PkcAzwggjjDDCCCO86XHTGJ5//h9+1z5zrglAKQjJbApA5hicfn0hO6jGZuzeqgm+Evq1w4wxDDxtlv5Td5UWM4A1gz+M3NCLuzz64D4Avu/9J2/ZnP37D1op4wHjlRJJLwIgNdDrSKkEN/DwC3Ie4TsfmeKPvkv6JO5OMlWbA+DS+XWClecBeCnq8MJlKex5ZSvg0SPy/K9uH+KbHzkJwKnZLokjBYhb1y7x/GoAwNX1Hms9qZH12Ld/iPHyBACf+dTHefJ3viTtyaDZ6wFwfnXnljR+5Ae/1TrOkGyrfeU4u/t8d+02HQCT5d9nsUOGL/e6ZSYmpWzJvoV9hKGUV3Bdl3a7DUAYhqytrUo/XL1Eq9XQZ/cwRvrEYPN3GcfsksD77tZf/Bf//aY0dq5+0mZ5dqaTPy/LLDbL9FkZtk9TlmF1LtvMYl9pfiky26W9JTRde3mbzfW6/JC08dNNAKrVGvvf9k4AiqWALLPai5ZM25ClWf59lmXEifTB0bd/5JZj+Jf/5g/ZTlMKICdxG2tlfgVhgUyzjNvtev583yvn4xZ1O/R0XmMzenGc94nruNprDo7Tb1uPfn+GoYvvC5uoVCpMTU0pXVAsyZjHcZeLF6T+2dT0DF5J+qrgLjJeuAeAv/QjP3ZLGk+dusf2ekKL4zgEgayJickJimVZf71eL59fSZIMBs1ApyPhN0EQUizK9Z7n75qb/XHv9jo4joyLH/j0Mp0P1uA4fbbo5J99PAL9utvbISjIH4sLBzh3bgmAT3/8c7ek8bHjx+xLV6W47k43xtF6gcOhBbIK+nRleF7/GmmfYHcoQn99O45Dps+yxpBpAWbHgTD0834oBGW5JoNe0tX3Zviu0OUZh0z71toUV9/38rVrN6XxO77/HXZsrCrPcx3arX4GvE+no+8xEOqcCjyfXiS8zHcLPPKwnJ3phoaNrQ1tu0+1Imcvr61t4fsynhub1+h0t/Qak8/9RqOB73naSxaM0N2NYuKurLmo3aHblXkU+ODJVOPTv/ncLcfwM09dtP0NyvW8vG8Cz8P1XKXR5EOUxhmxrjljDGkqn4MACkUZB5wATL/vE4yW6XE9N58baZLiuPJ8z3WHeJTB03ELPRejc9x3HTJlqFmWEUXS//vmqrek8R3f/qA9eXpa39ujWpXnz0xOYZDnX7ywxhe+eBEA6/ocOSXXT89U2NmWvi1VyswvyNhVfPI9e2K8gKN0ecbn7CXhbVHiUl+WfeL8uUuUizKXTjwyj9ExXVvfIUukfwoVF5Tec8+vcOCwvOs//uPP3pDGkYVnhBFGGGGEEUZ40+OmFp4sy3Lp0tqM/nEt1pqBtjxQ0Ad/wx5NPWb3p11Hn9zooTf+ytq+pUD+uJ1A7Pn5IoERKXtrc4t6SzThYsknUs25TJGdxjUAllZbfHlpEoC2f4L7d+SYjzHvGtm4XD8ZQ7gibTg+n/DwvHTzi802zphYny53DH4kUvDVDYeenpzS6sDFVdEAy08+z8aqWEiefeYruXTqu4ayP1yw8tbYpUGaVxqkIYuZahiOcYljaZzvVJiflerm1do8R4+d1vY4rKolp1qpsjAvFqo4Tjh5/MH8nY9/9jMAnD37VTCq+ZlM/gHYLLci7rY23RymbSkc0fdk6YAMa/Nnq41Kf8iGppo7NJUc+kfuWGswavGIGptceV7avrGySaRWrnbXJW5Ie6vdLofHpEr65IEDYn3oQ/s+GxoDay022/s8Xdx3DxtrYkXZWFsmVq087qT0T8Xw/Ckct6/ph3iOzOtKDdbWlwDotDbo29FcN8jngmN7BKqd9mJDGksPtbrxYHww+KFaQ8cnRcsEkp5DTy2Oq8trFLSY/L55iHrre6axWAxIlC7HNfSNkhkpMaIVR0mEG6pVKnBy61maJJi8nSn9sQ5Dl2Kxb4lK6Z/AUCwW8DyhMbUJofab5/g4VsY3iyHpSv90Ol2aiazX6rhPSa1PpD0qpdtYi75HLx/3gb45PN+NMfRPxjLG4Go/O45Lmqq1cIg3A3iq/RpjsDr3HJPi5Gs9oxiE+hwHV+d2nA14g+s6eTtSm5HpynCweRtuhcB3SVKZCxaHxKT5Z8I+jYnaCKBUGWO8KnUts16Pl14Qfjo1u0ilJt/Pzc3ywP1ymtBTTz/FmTPPAVDfvkqCvitz8Vyh7/ChI1RrUr/u8uUL1BsteWsa55aWJI0pleQax6Z0lRfvBW7cJUnVUtRKSdUqabM0f34UdYl7YnHsthtEkewrSZKQJXLNZKXE4eP3yueFA+BJ+xPHYhy1rmUDS1EvS4nVUjtskTc4+H0rlu/g6ZgbbM7xrB1YlCVx7+YoFFLSnvRbp2kpBDJXL169TFnnfnWygBtIGzbXdnjuS+L5CIKQA0fF0uJQ5KUXVwA4fWpS5gGw04wIld9MjtWYnXP1+yZE8vy3vvMkriczZbORUCoJXRsrHfYfFBrGJ4tsr8jYjZdK2OTmNTVvKvAYY3YJIYMOHtqMhj/agYV5L6zcGMMuV8v1777pzXbgdTFm4I74GtfMzVGrdeh2RICZOzBJsSedd3GpycSEtK1azqglsnl4vs9zmzI4tdISK2Oyuc+NjWGr4n6qxh7RM+cB+OLZAl+9JIPmlFrYDanR2Ks9xnosG+QXzi1z5rKYBvEMWX9RZhZ04peKHrWyDPJ2vU6UvpYCm31Ttf0aRtv/3WYyNXrdlHJJ3BgH95/ixAk5FaRSm2F9YweAbqfL4oIcgzMxMcH0tJg219c2KKgr8N7Tp9i37zAAH//4f+G5574MQLO5DTn7S/PP17ftZnjxc19i1pEz9KYPn6S/2bm75pYlHXJvMSSwD3lFyPqujSwlS+SHs089yZkXpEBobIr0tLlZYjBqonXCIoWazCO8Io667EQAV+Fx6LMBsrRP960RJXUyZe7GzUDvTbIkd9t5eISeSBuOG+Zu4STLKJVknhob5czd8zyKhZpc5DSIY2FYjslw+8JDzyHRfpibm+XYKTmWyXEc0lhMz6tra8zOy+axtRmxviy0z00GONneK+j7oYsXqWiaJRh1JyVpj6In8ygo+LnrIkkTwoIwR5u4TE6O5W3rbzylcoG4p5tQu0dBr3dcNxcSXFzSLO531kCYyVxqU9I/vczy8sVz8q7UUgilPVmaEAZ7P5ey3mzRTfsbj3OdIjJYl8NrNE37SsBAIBlmsI7j4AzdWwiFrvFaickp4Unz8zOcOCH8Zn1jk9/6+KelT2KD099c7UCAdIzJeQ/WEgb+nug7cHSuHyHA6vImcbMfItAjjuXZlVKZUIWvUljGN9J/lfHp3O2yvr5J2tXNcblJe02e07Ntrq3I+ZRzC9NMTghvara6bG3L/N1pttluCW9yiwELE7ImGjsNGjuyide3eyTpQFBJ3b3P02c+//huAUbHM0uTfG7KcMic8t0kFxiN47C9LkrAamOH9UsvA3D41H3sO3ocgHBihkQHuNftDYTNIcVyfHycQqGoX3vE+t44yTCZKqieR19ryGx2W4aAqZkyq6sisFWKIdtb0m+Ol7Gle0+atRmbkr5tNVP67mg36rFyVdz+je0OqPv91JFZgn4dZcfiuLou04itTeFJvSTD1fUXJzHlcVnTdquehx7sPzCBX5D5aLKQdkNcn6VqRrV2c+Vj5NIaYYQRRhhhhBHe9LitwoOvpWLPjbT11xLgbHe50l59y1a36wTZLABhwaNWE82tUOxQLKlW43RwS9LajXqEcUQyrR6a4PKWBO6WwgO89bS4ezbOfYHDhySY9exqj+2uPOfw/ililWrf+tZHcMePABD7htX/9O8A2G7FtNsioac2o1IVq87s5BQXLotbzRpIb4Nka23ugnSMc/2P8r8xufUBXGwmUvnB/Sd4+CE5i7HZiCiVRONN05RKRaxeM1Mz7NsnrrpCoUChIFJ2pVyj3RYt4fKlq6ysrAFQLtcohkJXt9ulp6ZTnN2Bw3vVSJaWd1j9mPTf/e97P2PzovW1Wo0h7Suj7yfIspRMtaAss/n3aS+i2xbtK8l6rK7JNS88f4koln4zJHhqsvecBKy6QjzorD4j7d5282dam+YWmCwbClq2We722v/wH7sljTbr5QGamW3ieOqGwOaWol7cxXNlTI4cuoc0k3Yur1yiVtN5GpTZ3hFrYpp1cVy1GtksNzenGQSuzv2SpW+kOXRkgZpaNJ999ilqahw6fGSBpgakz0wVuXJR+rDVbGKLwS1p62N2fhqrLpBmq0VZ3RJYQ1SXOeIFHqFqd44fUqkKvXHUzgOVrbVsb8m8K5YMkxrwOnVggUJJNMYLVy5zdUUO4o7TLon6lIMgoJmJdvrut72DB05I0PUTZ55h6cpLALTbXdJUJmq32yMs7t2ldXllY8hdxVDixZC7E5snFhhjsLrYY3r0Xa5kJg8yn6gWKZeE9lq1zKRqxfOzUxw4JDxpbHyMCbWApfFBzjwtbqEXL2/kFnubZdi+tccYXP3eNQ6O2ZsVa6O5henJfUmaEPgy/t0koxrI3Ek2U3ZSGc9jCycoaEC6H3i4RZmPO+0m7bbMqZeevcCnfkssUvuPz1Ge1znlGxydC4tT01TG1cJT3+HqNbECpa0u2bg83wlgfFra4ISwvSXjbK1Hsbz3edqpr+Su0cB1cIsaSOwXcqthmmYkidAyOz+dB84vLV1g6dIF+b5YJOpIm69eOkerI+3Zd+oBYuUrvu8xPSUW843tLZJY5nUYTOKpVcqYLOfrgefjqou7sbMjRHN7FnOAStGnUpF7/dDlyiUZi9pYCGoF932HtzwkfGVzJSLuyPehH3J4v/Dg2Ha5elnuffHFFWamZSympqvU5mXset02Lz0r7voks8zOidXo/MurlKsa8DxZoqnhA4cOzrJ8TT6fPXeNOJZ+K5Q96luvwaV1p2DMdRkwg1/yTe12BkOQB8oj7rZX17Zux2O8JhOn1UhZvyoTqlyaIAj6mUQQNZW5TJXwfXlZs7NOZVw2+mblIZYLYu5veDucXROmX/LaBBWZjIUg4LllYTrHEsv+MY2xKFdZVObeSxO6sk6YqpQ588ILAGx12iROP8YiziP99wKbZXnchnEdBiE8dhebzc3oqWW/up/e/c5vA41pmBwLKalbrR1FFHSDmZ6aoqcm3sZOnVJZMw+Mi6PZAzs7TZ57TrLYWq0GnrpeSsVxur3+JE2H3KV7j8Xa7LnUr4mAaT71MU48KptUEAR5lkrS7bKxJqbPKIpI+n53yDOPjG2zviyMcmO7y6UrMhCRLRKUZOH5ZATKRBwDmbpdatOzFFQA9Bwnd8dgTG6KhSEhztq8bXtBKaziGOnv1Lbye10nJehHKBmPWkUZblIHR66fmdlHosJP7IdYR5hFu72GTWW+J3GU77meF5CqoOi4Js8SunZpmZfPirC0ubVFc0L6oVZzc/dAmrYxTt8F45LdhmReLIdMTMn6qI5X8hihZr2F6bsKsgyv76p0ILPSzrHxSu6B6fZ6hJpFFYQuRRXeZmemOXRY5saLL11k5ZrMB9c1+I7Mx147zWOWSqVxaiostdsterHM8UqlQE2lPUtMN977WZy9dDDHDeSxGsO8UJ6bkzj4LrN5lpkLTE7IWlxYGOPwQeFD9917iqK6OkwKYxM6b8OQrO+K6LSZVN4TrG1idXO1aZrzYc/z8uwXxzi52+tWaDTjPMMoNRk9fQYmwNWUoW4ror4jm+Da1TpHT+kB2Salp4JQoRBSyDT2Kmqzek03RLfFkYq4r22YEKnruLCzRVH9JSfvOcrJkyLonT//Iut14cXNdiePR4yiXt7JWZrd1k7oFUy+PqpjY5R1HCampygW1c3kuoQFEa5qY1N5v84fOcEjj70LgJlymWJJ5p3rO4M1XaqR6cgHvo+vLh7XTZmdExdlmmbYvtJmM4yvsXuuk7s0o8ih3pD1XQgLQzE8t0Y3iggmZP0tvdzKY/221rpMTAhdlUqJLNas0MBF5W+azTa1qpzvHZQnSCKZAzvrm5Q8FWCqPu22KlhRShBq1vGzW4yVDwNQDiug6/7SpRVCX/hZazujWJE1XRs3XH2pH+QEtf03H8iRS2uEEUYYYYQRRnjT4xZBy+R+J2sspp9tghnyhDhDOvlwBHM6pL0MPccOW3uGrDTmek1wOPirf++QWS5zMH0zq70+q2vvGKvGFAoi900EJWpl0Qwi67G6JYHHExMZQaAZO1GHokru3biba4NpFlPUmgFXO5D5oqkGlQSjZt3t9Tq1OdFaNpsR0Rc/D8C5F55jtS1ScCWsEoXSniRJqVTlXS+e2yYMRBuI4x7ubciqbkbekU5mBiZs7C6Rtx9DG/pl7jv9FkDMtF2tR1SdHM8zIerbLeKuBAbW1za4dFncA2OT40zPiouwOjZBW2tsjNVqPPbN7wag1Wzwucf/BwDLK1fx22LWTbKEQYNS9ur07PQsiWYV7bx4gagnJs79xw5S74hWvrx0jgtnXwQg6nTyoFbHc5iZkVpKhaKXu5k6cUijrdlPlWJe9yYslHCt0JR2Onlg577T38T4QXH9ZdkgcwqG5/Crd+KOjR/EOOP6/AyrJuwrF18g2hFXJ56D74vlIUkS+ol8pVIV4/VrkTQpleWadnuG+qZkUDR7y/TUNByEHkV1XcbdjDCUebe+3sGqtc8xE9Q10NDaiHYkmYWNZp1yQQLYbZiQ2r1bP6JuhyCUtRIMWfjKlSKBzruwGJBqjaBu1sOqhSdNHCId016vRxgO6vC0IplfF5bPE6nFaWd7E0/78MHT93PtslgIN7a3KZaF3t/6xKdobEiftNrtPLA5LFSGMtcyPH/va9FcNwdeycJ9o79MBqG+68iRfbztbQ8AMDlVY2FO5vB4rZZbuhwshaLQEhaLbK5r3a9mg/Fx+X5xcYLVNbG2JNH1AdTqrvVdsj0G9WZtwNdrHYuvmTjdnR64MrZeYKnvCO+4cnGNY0clA8tzwFPLq4lb9N1349UZsngJgM2VOpMLmmVUyIjUQhmEJcloAlrdHYoanN5KmkRqgbPW5kkyWTaoy+X7Hkm8d+vHL//qv32hK7gAACAASURBVOP7vu+PAPDBD30PTqFfE8vbVdfMcfoZn4P5Mb9vLq+ZQ5Lm7miLxXX717kM6jCRhx0c2r+YM5MsG7jE4yTNA5td16GjYQQmS3H79cCSlLi797VoMoenf1f4StRMOXhQ9rNiyaOkoR5jtRLW79fNsrm1tTReItW+Xdtssv+wuL0KgZO75MoVl86OJltYn5MnhWdcvRJTqQrvefjRg5y/LHO2uFxge1tc+sbtkakV8eCxCVJNtlhdqXPm+eimdN3c/mMs1vQLqA0nLQ+kFjPEmAwm920a4w8t7kFqnWMYckUNiUh2t1vKaraOYXCDtXaXy2NXBll+51DRrj2gu1NlfJ908Oz0PkJf3ntl5SqNVt+FlNHtCLOrOEXabdnwnMAlXlBXQdLD82UihJ5LVd0baatDU4sk2ayAo2mlY+UaXiift9e2aLa1GJWbUCvJsLR7ER3NWii4Ad2ObDC+5+bZKXuFyRMUk8FYWAejKdZJbOlbPA8t7mdhXkzkjnGx+qo46bK5KQWizp07x+qqmJkvnF+ip5kwxUqZU6cl1XKr3qSg2UHz8/McPXoUgFKxyIkTp/T7BbZ35F1ffuLTpMp4jLN3l5ZbLGE1fbHVzrh8STKqys4am5oRce3iFTpb0va4G9FuybgFlSpbsTDf2tgEro5hLy7iOJJ15fgeTr+QmXEHBTiTNo5mr1SnJukHu9gkxvZTVYbKJFibYfMCd4PvC2r+vRnKYQ23Ipt4uVyhp/eur16jUZfYqEpphmJxBoBOe5P1DWEWE1OLTM1IHzfShExdCwsLJ5nSOLL65iab2xJbsL1zlTQR03y1WsnjhdI0zl0bXmzI+qUUGm2arT6DngK0LEGWkiV7T/f1PCePdUjSJGfc4+M1Uo2x8QMHV9mWweZp+BabbzCO4+DrOGaZJLUDtHt1vvhlUTLqOy38vtC4dJFYN/taucD4rLgNzp55jv/8MRHkp/eNMTU1nrezX7TO982Q8HP7sMO8bZgB3sBHXwh9ThwXhey973k7+/bJvOl0E2wmizSNffp64PhUkdqY0LJdb1JS91xtPGL/omxCseuwuSEbRuoM3Go2y/LYM0IPL9ybz8eS5vy61WySalq/jV0KOrbF6QLu1X4MVAdHswAvL13m8lVxmT741gf47g99t7R9rc7Puz8PwIUrS9x34h3yzDBipytzn9QQq0C6vrJKoEpjFLXw1SVrbEpPN30ndxqJK6+f7r8X9KIex09IAdnlja2hwo1p3n/ZkPvR5lmo5L8BOMbbVTDSVUHI97y8cGIQBINswqHMwkKhkAs5aS+ip4JTpVyhVlaXpoWoJUJC1G6RZnvPCnU9sOquSuJBpmBqDC+clT5/4D6PuQMiOB8+OEtd08PDopdn5I1Vx5iYF2HJzSw1LdRbLRmuXBC+WyymFIpC1zveeYjCmPC58emAR2cPA9Bp93j6BVGqznz1CpVMaGxuR8wckOeff2GLYvXm2YQjl9YII4wwwggjjPCmx81dWrv+GKp7g8XtW36yZFC8zNiBZyorkGcUDMEyUF6ybEirMcNvtAMFx2b51w5GAswAnBSnX3I9HTIB3iZKpRKOI9r+kcUpxquiKYXFgHBcNNXPffFxxkLRnOfmJ9lcF014ZbnN+75ZLBVvf/RRPG3D2MwEblEkzUq1Qlkl8ULoUdRiWmHgUCrL8/edPMp5ra8wMz7G1rp8NnZgDctwMH0N1mTMhLdp4XH6lroYpx/AbE2u2XpBhdP3SY2dtzz4cF56vlAocGFLawQZeOllof35M89zfklcRI2tHaampX+W11bZUNNjp5vQ6YrWdfz4cba25PuVa9cY02Jj3/md38H0jBzJcPHii1y9LJkwrhkcA3BL+F7u7mtupCSZWAaiyHL8qAQ4zo971Hc022FlhZ1NzTqYmckL05UmJqlrhlyyLZkqAMakuesqw2KtLJs4ySgW1aWy9TyNRPopS67T6PoWoSzL6/xkWUaqlr/Fh26dpbW8skSrpQHGacSO1hPpdNq4GnDbajdpNcUF02lu0myJ5r527Qpj41JDJiUm7sl7V8IqkxPifnTDEn6oaVfJJh19Vzmo5e4Hx43zukpZ6hL3pB+a7R6eutJcN8RV95Nx/Bu4ql8ZjeYOqe0Hsxdz640xZmCxSRP10Ypr0qiGXJmcyjPjsGnuSknjZNAGJ6Pb1SwX3+fk4eN6TS+3Jp287x7e/f73AvBzP/sPOXdGAu3jpECo6yYsFPL1FCcxsWbt7RU3slzuKiRnTF4PBwOhBq1OTVY5dFAsM9NT42RJP9MwplRWF3ro54Xtok6MtTIHoiglUYuWX6pSVlfX4tQUkzXhN5dbgyKRUZoOjpnwPVx/b1lahXIxtwb4XpYHPuODLWjWlxdw9KRYe9//2LezMCnWx+ULlziyX2oFffd3/iHe9raHpS3dLmFVNPqvPP0ctaqs427UYmVNkgzOXz5PqSjPD8sOoRbE8yoZBJrFmPa4dk3cNM1eC1Kt7dPt4dxgr3olGDIe/6y45Etnn8vpdTK7K7CiX/ZvV90vfYL84OT7nOM4ufXGG/ochmF+xMrw52KxSKUi+4fruvncqVarTE6KZbpSqeUZjWsba4T+3veMXpTlVrJ2K6PTlDleDlw8dSmXCw4F9ZtPT4YcP3kYgIUDVS68JONS6YQcUR7cbjeZnJT2tDYj+uWostgl0qNG9u0v0dE6Yb1ui6ykiQITBR44Ltah+ekxCmrJWb66zJOfF7d8e6dDs3nzPWPvsem7RjIj1AUwPTWD52rmgGOJ1V+aZjaPiMeQm+jiJMmLThnH5EXBrLUkulAdx8VThoUx9DRtqVwp09XPqQ1oRzKhup3kOlL2LvxYmxHF+szM4Gu69Dve9Qgzi+JXvHL1R+hp2u2xmWl62zKYTtEypkLL2MQ0Xc3iGPMmODAlG8m2ddnWTbSXenhWBIPPfvxJSlXZPI4evZ97joqJtLF2gf/+27KYJmvjzM/LZLnv3tM0mzIRvvz4b1Ny9p6lJcxUTafGZZAcVGB6Sp5/+r5HOaJtuHLtCs+ekYJYp04dZ3lVGOHsXECsjNh4Ho2WbLrXlq9x/rwIQhPTk+w/dBCAIM6IN0TImZqaIlJz8sMPP4yrDOZ3vvBljqmZ/tTJB7h6SfrWZr1B9exbIIq6OP3Kza7BVeGk3UtZXpPYjM7GBqluNHFqcbVYXBBAqrEf66tbRJrZ5AUVfJ1H3V6HqKHnZ5VqpP0NzriUVYAtFKt4BT2fyN6AuaExU4N6hwPhfQ9I0ya65xP6RRxN397Zucp2fbN/FanOZdtLBsXosg6rK+LOa3d28PsVd/G4cknSk7tJksc1kWQUA80Iy7okaf9cLZ9EmVEQVvA1zbhkpwYuPGNxVShynUGa7l4QZ5atel3f67BTl/cuNxsc3q9xAKUimcZQjRWr9JUq07Mk6j4rBw5dPVcr6pC7UlrtFmlb+iTu2Dyt+5F3PsTBQyL83HPvabZ3pA2+F2D0kCU3DCiUAm2Di6eZmmnq4mS3l+w6UPLMwG0E+blmZlBvlEqlkKech6FHUTe8WrlCWd1VmQFX3SZbm1vUd4QPOTaiqinfleoUUTzI7PO1dEQtTdmnZRyWN9fJ44V6g/ibguPT2m7tiba06dNoyDi0O22qWjYgy2KySF2LtsO3vucDAHz4Oz7MZz4uVcwdLI+8VWIHH3zwPtJ+/ElmOHFcsuuK4RhLS6JYeKnl3kWp9r5xaZunn5CyEJWxMmM1mZuea6hOyBqdmBzn5LyWApmKiCKhqdVu5lmGe8HO1gbPPCWFUx9852N4ulakREXfRTlQVu1w6AaDwFiDyauvZ5nNM2+7duAWHC7Ou0sQhlwJCIIgd28VCgWqWspkamqG6dl9eq2Dzfa+Z5RLZUpVWQer19okibyr3uwxPS39mcSG5oqsxWtLbVZXRDFK0ih371dqDn/4Qz8MwIGDh1jXOLL6ziVeeE6qan/+s5+lbKRtqysREzPy/HKhTJKIwH5tdRlHefbUvKWgylkaeUxMSv8fOXmaS+fWbkrXyKU1wggjjDDCCCO86fGq6vAYLEXVEPYtzOH7Io2WCh5dPT+k3W1SKvdLX7u5HyuKojy6PAzDXEq11tJSi0Hg+yT901ALBWLVWj1vUJOgG7s8f0asCp1WMz8b5nYxOTFDQTOq8CscPf0IADP7jhD4oiX80J/8S/zKL/0DAM6ef565MdE2T779vdz/4KOAZD48/bxkdfm2xsxbvwuArWee4erTIslax6VZl8Ar37O5Rle6sMKMFgu798S9vPXdElw4Nl7l2D0nADhx6jTNHZF2f3p7lStnnt0zjY7jgrphrHWp1cQkPL94hH0HRLOdnT3ESxfF3PvFLz1BrSZaQmWiQTeRex23wMSEWKj270/Z2hLLwpWly0RR/6TqgEOHDgMwPTtPNxbN88CBA3kWwtTEJGNaUGp9dYv/9v/9Z21pB9cVaT1J4/xk4Fuh1WiS9aQtXtKVE3SRk8S7HbHM1XcixrTM/sSkg1aep1AdI+q7sZptqjNiDo6dEht1DXDM2rhGy533vDz823UDKnNimq/sfytBKPNdNLo8vfG61tpX+HxzRO1NVjRI3OBR1HpIpZKHRQP4mjskajHFzfJAzKTbzTVGx0KiAbeOY3JXTi+yedZjZjN6qv22O+t58ThvfJJKqV8krkummmcQ+HR7ffdKj1j73DoZQenW5/b04TqDM6SSOGVzXQap3WgypkXQ9lenSfTcLmMMJbWqNbYbuXV5YmKMogaTO5nJLXg7Wzs0G/K5Vp1iY1vmzNNffYZjpyRTaGp6mme+Kuv18sUrpIn0W+AFjKnmXKn4+EHf3N/F2FdXzsxxhk4kzwZnFZJljI2VlJbx/EyxsWqZgwfFGup5HjsN7WdjiFqijT/11HO02vKcuFPn4D5Zr/OLB4hTedDczBi+ZntFNiHUM8UqlRC3fxBaN8PNBqm1UXtvFpBGvZ4H6aa9lLZaezzfpadWt/tPneKjf+yjck3LsrYiLom52Sne9Z7HAPBDjyTtn/TukaX9Qnwhs7NikbrWeIkXnxM+WPTjPEB3beMaRXXZea6X874wLFJVy0+pWGBmVvhgJaxSqO59DCuFgK0V4eP15WssHBI3XBSnu9ySA0uOs+v7QWKPu8t6kxv+bMogS9nsCmweDnK/0fftdpt2W/p8dW0dT0MQ9i8uQrz3oOWlpXXq6sZKU4+6JnmY0CPSIO1jhTlOHhfag4tn+MgHvx2AiYOzrGv/nFk6R/GizNPwylkWlPaDYwvMHRIvyExwlHENPvfKFeykeB0qE2W6ep7l8pVLJKnwg8i0aOmZYocPh5w8Ip+bl6/y1NjN6drzKO/KILAOraZM3hfPLeE5/SytlG4/9c0N8PIDLgcbQJqm+cFrjnFyn6QxJv/ec708kt3a+q52BH0ByYFWs5+C5tI3Vl2f9nkr/Nk//6NkWjV1YrJGQZlap9Mh0+6Znj3IH/5jPw5A6FuKar4vjR3AqgvkpQtLuBOygPbNzbLvgBQh3NzYpnJZfORve/tb2HhZFujqC1/BDWXxFQ8dYU4rFV+4eoF2XQb22IkjHNx/QN/rg7pP/uhHf5Dt+taeaTTGwVgZi9npAyweFCGnVJ0mzqT9ndhQrMpmf/qhR5icFFqyzLK2JQvo2WfPEvjKSPwC99wjMT/NzW2uXpNslnc89k0cOXJY3jW/j0g3wq2tLXY0FsR3PfrW1ajby9PCP/3pjzM7I/1v8MDuzQRrkh2spkW76SYTFWn7xFgVp6zM3Otw6JiYxaOdFbZW9Zy0+f2sr8vGFxRcatNiKnWCGjaTcVteWyfTOe4UPGyq8SReSKGfERFtEveGai/k2S42d1tYm+UVntMsJdVYn4mDj92SxmJYpVoWIXF1dYUrV5a0n9K8yGE36hFo3EUaJxg1kTv4uI6Mf2riPPPP80yevec7Gfnhqs4gts5Cbu7PbERfnmq16/ka7XZTEmWm4+MTONqeNNuhl+093XdmcoxQ3QNRB5YiYYI2hZ4yuFK5CKan743zzJMkBmNlPTXrbu76XltdZ1Oz87LM0FU3+Mz8Iu/VWJ177z3BfffKXG40mpw9exaA7fpWnt7uGEOrIQpHuVTDqJCQdHuvWuAxRuISQfhZPxayVA6YmtaMMNcn1VT62dlpamMyPze367nAExQGRQVXV1dZXxN6QzdjSguaRp0OHR28Xmud8bKWKWjtkKmgWAoDEhWEOt0eRXUXxmlCsMfDiquTPq7yiOpUJY8Xc6zLUeU73/+9H2FuVtze577yVUJX+uD+tzzIgX3CN+NuRKrZhO1OSlMFrmarjVFFaKfRoKGF9TppTK8rcyGOLT1NfzbGwXF0jncbNNrSN9Y6XLgsCoRjHKqV/iFPe6CxVCDTcI2Vs+cYHxehcrPdpa4uWccZlGvBGZzr5zhOnk3oul6u9Hqem7ulfI9cOfQ8L3cLSyaXXuP7ucDjebuzvfqfu3FMoyn0Pv/cFgXnNtzL3YR2Q9acTVMadenDWrXI4UTTxrNDlJ4VxejhYIL92rYH73mQ1X0y1tHVOv4v/D8ALJ19id/UGMPJco2HNIP3xPEDcI8oHL5dY/7zvw5AUiiRTso6ODw9SWNW5pVfncSZOiy0lyaoJzLWZz9/ER64ecbryKU1wggjjDDCCCO86XGbFp5BXZ1UzZ2NRm9wGjTQDyLMEI0QVNrdVVdiYMZraU2b3aUD04ErYJdpUH8DrEmHspaGMxxuWMLiFXHi5L15AarQ93Ityw8L+ZEKCwtzzM6JFF8qVXBUm8pMSqpZSGvbZU4uiCluYX6WihYvW718iYfule+/+9veQxC+H4Dl8+f4xH/9rwBsG4/3v/9bAZidn+GJL34RgF//1X/LgTkx+zW/8ARzH5B7H3r0nSS3YckK3AKz0xKAPTd7hHZTtJPt7WuU1SqVuSVCDcB2i+MsrYjVw7GWWI8HTxsNbCpabq8Xc0jP6fnAt32Qtp4JMzs3nwecX7xwkTS30qcU1Jp3YekCPQ1gTNKM8y9LZhbGwdcjHPZNH2B1+eU90WeSNRI9A8sNY8rFoSBPDeycm3DRWFoa2xmNjo5zN84LapbGZtnaVktCrcjUpGgyrVaH9R3pDx8X35NnVsenmalKXzavPpXPX3foFOxsyFVhrc0Dp7NsUPtjLxYea0NcI+0ZrwU4/QKQO+tkuhbHxicpaJDt+soVEn2X63hEavHodWMcoycNG3LtN6WbBxoCefZTuVQgVA3z0MwcW209BTmK8PvrOE5x1PXjZBmpZr9kmSVp37wQ2DBmpsYpF4XGixc2sFqfxSXAIPRGnZQ00ezMzKex08+0MXmBzLgbsaPWmPX1DZJ+3RMvyK1Sz77wVRIj9y5dPM/TT4oba2Njg8cffxyQ4o39OdOLIlzNIEu7cW7xK/gBt3HKyy7YzPYr54OxBBqUOT5RI+i75BwXV+sghYFhRzXkCxcu57V0Jsem6WqYQK1ay3lSlkT58RyB7+bZZHG7TaMjFpNOo4GvtEyPVdnWedI1WR5WEKcWzN62iqTbo9EUy5PrBThqWd6/cIiP/ME/CcAj970ddL7YXoeihkT0og4r12QdFyplvvz00wB87nefZHVTz5laXOTht4g1zjoV1tXQvVnfJlHrnY27ZHkNPzevF2XTlEwTbBzHIe0XOTSQdJt7og9grFqhu6NB8Vs7rPbPOKxUuHhBXEjZkJU3ywb1eezwET5Z/hHPdfM6boFv8tPpgyDIvSCe5+WfgyDIMyYLhUJuiSwWCvnxFn4QMDklVvvNlVXq27u9JTdDGJaZnJP+SdIo94K0OxEXdF//Z898lvsXZV/8wEaR5V/4pwCc/+f/jHldx982NZ6vj7jk8R80+L1YLLFfM6IXSyGPf/oTQmOS8QfVlfZyNSGKZCBrFw2JWtO3uj0cTSKppj4bmnF7+vj91O578KZ03WIWm12CSu4ucpw8tbnb6ZBojI3DQNiI6eZpeY6xecqoHTpAkV0bQ0ov7uXvGVeXSqlSywulGeMMhb6bvGie4xpMv1Chub0E9YsXL+RxRKVSAT8YpAMWCjJo62sruBrf0N7ZkJKgQNELuKorbuHgYTaXxRcdBgW2N7TIXadBZeEwAFubmxh1h4WVEofuFzPehd99gRfV12oKBU7cJ5kH733/B/n4xz4JwAemF/IYhajTpKsZF8eOHLkljfMzC5Q1luLFM2fy4oGO7xOOiz987uBRSjVZHJdXNtlsysR0spR9ExIn8e53PEpZzZAvvbTE5ITcWyj5RJrue+XKFWKNsajUasxo3EySJHn8wcrKap462ev1eOIJEfAOHT5M2mfQxXHmFw7ekjaA1tYqWVc32cBnp6mxN4WMSJlg6jtcXRbG1OpEXFjRgwbZJtZNpDxXZUvjdhrdFoEWoYy7CVY3lCRqYFSYnZ6bYv8xKUvg+97ANz9cwO36hK1+5rTNdmVc3AozUweYmZL+aLei/Dyszfo6W5vi+ulETTI9sLBQLDCnc3mmWkW/5tzqFjtaedhxINNNzXMsSb8oIpBq2/bPLXJaz2mK45jVLXlXOnQOWIIl1U0zIcOoa9pac1tnaTXrDaKW9nMvwVGlJ7UemhxGuwFFPQB0a2eDtVVZf+2diKTbL/8wRrulm346OJE2TS2Ouk/itMuTTz0FwNNPP0NJM9ew5JtHISySqNvRWAg9uabb6ebnGE2MTZLt/ezQXZrd8NzwPZeqxs35XiAuXbSCbdbvz14eNzc2Pp7HFKVxnCt/c3OzxNpZSWwYH5f15zomrwgdFn3Svpsv7pLq3B4rFqjVNLbOr+elGzrN9g1i0W6MJEpywbkXR+JrBNauXmXpvCg2p4/dj69lNXyvwNw+UcbCyjgNFbg+/9ST/Nq//48APP/iedDz0A7u209JN/qg51BTN3+jXc/Twy02X1vOUFwYDIpEGkN+sDBAp79A9gDPD6gbjYNzPV56Uc47PP3IvbzznW8DILM+Tn9PsiavDJzaLD8zK0sH7UyGsiSTuJef1RUnCT3lp1G3i+3HbdnBvcY6BP5A4Omnq5erFVwtUDtWKeHdRimTQ8cDLq/JM+ubXSJVEJ0Y+vJ9q5pxdl7mS3JhmY+vSljDpSzm+30RTt7aXeRnNVbux8pVEi2nsX9qljEtNdA5dowPvCz3jne79LT9M7aHr3JoxYRsTotMEFdSZlakf65WMrY1Y5LzL/Pb/1mKzn7zX/6bN6Rr5NIaYYQRRhhhhBHe9LilnXJXYcChwoN9sXlre41rlyU7KUu7GJWgHS+g737qNOvEXZHsbNLtny5PZp28EFuSxrmlyALH75N6DPe95ZuwjtY3yRycvlrkWFL6Eq7Ji4vdroVne3szL2cf9wYWnkqlnAd6bmys5t/7XjEvtrTduMrqskimF848w9qWiKPjMwvMzom5+fDRQ3kAs+Ok9CKR0D1TZFaDyNzMyc2uK5evMT8r1o9T957ihedFe+g9+kBexzHtxoMaR3tAFEWsLJ8BYG1tk0xdVMZx6WqdA9eNcTfKSleEHkFF4IUEU2LpWlxczPuqVKrQaomWs769yfKKBPg+8eRXCPSa6akJrlyR/vF9nyeeeAKAcrmc14o4evQo3/VdktH22c99lrc8/JC0B4vHxJ7oi6NmXjMkTmDlilohKMh5V8D0pMf556X4nqnM0FBrQLTaxGhQrp207GgQJJGDrwUpk9TFU60yTRPijtSSwHQpTEtwnhtWcu3BDB2fIrWEhmtz9NX7LC9IuBeMTczlmp516ly5Ku6+1eXLtDUwsbGzgatWpsMll3cc1OKRbpoHRz546CifOSN1TM6v13PXlXEstl+qHvIimliLbUp/Ts3M4Ot5SCZpoJ4l4mxg2bUmwdfT5LvdRNbmHtHZMTiujIVvAo4dEYvWVr1FVwNul15eJ1BrTL3eItLCmXE3wVX3XC9p0NHzdTIS+sc4O+7g+IksMxQ0aUCyw/S9fojvD8bay91JIVYJjjoZevg8m71tStXSnmn0fC8/PynLstwqWC4XKakrVgJTtXifayirJjw1M8OYBnHWKjVizYx0E+iqW3NyZpJEs2g2Njepafan41iKWowv7TSZm5f15+wU2OiIZbpUCSiohWdhYS5fu71zV4j2WKYmSaGo5/812608uLvR2eHCZZmzSdbDuprBG1aYmBXL79jcHP2DSF66ckWKZAH7jxxlSuuaLc7NU9BsyLjdYXZGvjdexiV1ga+sd/IwhSzL8k3OYRAkTpbd0IW7F1THA9yyWLeNX6Gj2bOd+gqVMT1GwXji2QCM42GVeduhk48Mu4tN5m0ZCtEYrunlGJPX1urTBmIpinv9BIJufnxGu91hUwstzs1OUi7uPTB7cyNie13WnB8EeQiCWyxQ1OzlXrPH+vOyn92z0+TUo+Kad9fqzGuIw04ai0sUqHfhrNaz2z9bpaBeEPuFz3N+Qaw3Y5lDpK5GHEumVq90fJxAExfcXszGPrm+4BfYjDRJohhyv3tz//LeY3iGPlvIz9gqlgpUanpgYdzOi74FhXJePOvlzQ0uX5CCciaL8yrNshkMVaPsV0Q1hpfPiE99YmKWxYP36JudoewRm5snLUMR8bdZcDnwAwq5edXNXQ6e6+WbqO85+Vk1a1cusX1Fsjg2rl1hWzPFWrHBKqN8eekSrmbUTNSm2NmW7KRnnkqxqRZucwu4V2XjvLKxw1eeF3/11ESNtRVZNNFOh61Uhujp585w4JAITp7n4d9GFn6r2cBz5YaFhTF8PczOwSXWDou7W2xtS9bC5nabKOpXip5hSWMynnhikgcfEB/pxMRUPhZRmmK0oFTmuDzzrBSzmxyrMqepn1EU5Sbne+65h4WFfjS95cABzUQLQ+pqsu+0OkyO7W0jMVh8PezSDVyiWPp4Y2OHTl1iAkx4mMiRa7pdl8QXhh/HjfI+qgAAIABJREFUFteRBbyxE9PVDXp8+kAu3JF22VEJsLW9gVXz97WXn2ft5S8BMDMzS0/N0AYnN1uTZbviefpVmLM0IVZXwuzp77wljY6b4ejmUSiGTE4Lo+902zSa0mcZMQsTQuOJCY/mhrhJN9otQit9MrOwwO+7R9ygnzzj8cTlfqq7nBEFYHspBRV+xksBL1+VDLjZbptDmj1UbzZz+/DkxDi9fjwE5EqM6xqcPcZ+AFo9ut+HHhPjojTMLSyydEFM1ZcuXcFxZG56bpCnjcdZRqKLN8sMiRZmzFybF1w7cvggx49Jcc1nvvIs9XpL32XJbH/jcXFUCMF1ME4/1qxLqhmNxXIpj/XrxT1a64MKxbdCoRDm86Eb9fINrFIp4Wu1WXcotqoQFplR928QDorKea6hUCvr55CN5X4bLCdOCo3V5VUcpb2EJdbDYSvjPgV9V7qxTeD2K+XHTE3JWpieP8DUhLyr3egQ9fbIcMKQWBl/z8lyHupYQ0ezaSwJJugXooVEQxMIinRV85vff5D7+lla3SQvC3FgfpHxktD94oWvsrksilaSRVTVFdLuVdnaEVen6zo4fdcPFmP7n82Qe+P2SpocObafVLMhrVPG0b7Zaa1w7dKSPN8Wsbo/jU/NYp3BnOpnWjmOm2dvyd+DTKvdaezD8azk3/ezt0zgUaz4Sq+bn8nleS5NLaLZ3KnT6+79XLv1tQg/7AtUHsVFadv+sMwBV/jy2XINtyJ71fSlKzQXREE9/o5vp/qJ/wZAI97EVxf6ww+f5lvmZOxmpqcIGlrY1ViOXhYek41VmDovax2b4Wn25+bcDF5TBbD6JqnuYcuH9hNp3FQlKNC6b5SlNcIII4wwwggj/B7HqywgQX78e3lsnGMaOIbNBuXsjZMXAwzCAomatdJelBeI6rXrWNWspHjSIGiyUReLwbNP/y4VlSInpvfnAcy3bcp5BUhQW1+SjfMgyzTu5i6Hta2E7W0x+25cfIFzS0sArO8kuBoMXK1OEaqp1fECtjZF4/I8w+a2nvTsuhhHTaFugcK03Ht6osuDWrq72va4qkGoL0RtpvQU2aWzL3DtQQlmnp+ZxqZ7d4f4jptrpJYML/cKDs4sc0iohvJHaXqcXlesG0GphqdnTT399JN5QNzDD00wriXbvWKBMTWdnzhxgo997GPS/ue+mgdEzs3N5TWaOp0Oc3NSe+fo0aM0tD7PwsIC1zSwOE1gc+3mZcL7SL0wt/AUqjUKGnQalKvgqpVjJyZVU6zrFTAaVJcmSX4cQ68dM3fibdppU2ytyr3d1jKOummyOM2zn9aWV7n4gpSznyreQ6/vKjTekOtq+LR0Oygln95e0PL65jWmJ0V78f0y9YasobBQYHpOgopL5SrVQC0kdo31LTEft5st5lUDXLu6RnVC6H3PsX0EjozDi6sNNltqMjZdZsd0PobQCGSebjValLSoY7kyTbMjFpK4l+XBvZ7n5Fl9juMR30YdHj8wtDWry3VDNnQdTE37LCxKO+Okx7oeF5IkUV6OP07ifL26npdnvPTiOF8ri3Pz/MEPfw8Ab3v4Ub78JQlafvLJJ4jUhWvw6OgfvbjF1LRopFOzYzh6hlfmDHIkg2IhPxF8LzDG5lmMnlsYnCAehji5tTslLMhcDYMiba1BE7XaZHlih4er7sWoG7OtQciBCwf1tPepsqVmxKpS9VPasayzTrPLimbC/P/svWmMZFl2Hvbd+9bYMyL3zKqsrLX3TTPdPdM9w1k4HC4a0pAEipRBw/YfG7Z+GAQEG/4l/zEgG7QlEwJoQLJkgZCooUCTokh6RtRwmrN093RPb9XdU/uaS+UWGRnr2+/1j3Pejaj2TGXUSH9UeB/Q1VFRLyLeve8u557vnO+EwxABey9jrbDC1MLZx8/gKnuHnnzstCkvchxsMa6ybgttNH5SleCIawRu3r6LrJ97uTKsra0DAMpzTdg8pk6dPI0yiwfutdvoH9H91itz6O3T2rp/sId2b4v7I0PIYRNZGoNlbLjkSe4tGfNJGpRcAHB0hpr+Gc7NLyPgYX174xBhh/pVyAGuXqbwDp1aqDc5eLhRh2avYRqLCbp77NWZrIT+Se2dnG7TSt1HaRnRQmtMiWVCw2VPrWPZmGGKTWqB0UPUtVtdquHaHa5+7o1re52uVPAVl57vuU6IBZ/GxVP1Jhbv0nM5dfmPELFnt9I6iZ8tkzd6pjvEP2rQGnZ0GCJk7aPY0sg4oN7ONCwO9VBZivjz5OVNPruGUkD97CXzkDznrNjFikde58NeiltW/4HtenDxUCEmhPzGwTHa/AEIWEYtVAggMwKA4xTc+cU1fOolevhZGmNv8zYAoHe4Z9zfBwd7pmiYFIDNg7G9v4NrVy4CAD4104Jl0/fQppPf20+nsgwAWZYgNtlkDiRz+UlSwo27LDwXSPS5Xs7NLvDip0hd+eK1TcDmwo3BANGIXHdaKwx6tAA56+tYPEMCZ6MwRa7T63oWfvjn/xAAULWBv/23/gt6v9vB1VUyiv7w67+H5SXazObmV9BnN+3ptTVk1vQGjy3t++xDK392Ew9SSmHmvLR9NEo0UZTjocV1jJCl2Nyk+A/P8/H4Y08AAColD7Uq9cPa6jISVun96P0f4gqLuJ0+fdpQV9evX8cuq6v++q//GmybNqdzZ8/i5ZfJ4KhUZrCxsTlV+yqlMmLmepOjPQjB1MOMg8U1igWTaoTND9+kdnsZXDaQtIgQDGgiNU88AcHplDcvv417u3f5sz0sLT4DAGg0ZnFwjxa1SKUINWf0LD0PmeS14CayCekX+f/j4oIa+v5LjoUwG3G5VMNMgxaRUqmGiAMsojjBfImNq7vfwjZvamXfQq3CwoNZhvYeuY+94QgvzdNYOzPbxI0ureKXb9zFqQWmVYMIu1wjp9Z0sHdEC0om6iizsS+EhbpL32PZNiw2NrJMo1qZXmkZUPCYXvb9MuKQ+m1/f9cYmYNhD0lK/ZDECgkLW64uLODkCaJ8Pc839NDBwQHu3mV5g1Rhk+swHe610eKD2sriMjY5XqVabaDCY/mou4tymQ8BNReuN872smTeRsBSD1PIV5uDnW1bqJTzumZjpd1S2TPZR539Dhqcvnv29KeNIF2WRNCccTboDdA/pGe6PFuHGtChoekM0OSwjWjUR5/FSvuDEEOORzrsp7i7R8/U9wI4vCmurTZxuEPPbrfmIgqnM1xrvo+AKeUgTGDzxufARplV1K9cvIwPAyrK2j0awa/QnFt/7CzmV2lDlFKahcp2NOZnaVM7OtjHdQ53kK4262B7dxchZ2qmcQpbjhX8xzF02hg5k3WpMpXdRy0dh7m5U9hmccfr1y4hYIPnzJkmtOLYwNEIcwvUf5YNskoAqAzjdP8kHmeWTWRdaa0N7WXb9rhmluMY4V3btsfUmG3DctLx+/wMI5UhZRX5QTdA7SHmolfx0JqlMbi33QNHrUDPLuPDeVrHvxDewmeu0KHwqmchCWlNPxW6OPBp4DUOM8wd0dgceSVsz9NYnkkS9CJWtXdtY2ekjoDKQ1VaLtJXOAxhe4ibeYxMkiKM6JrDkcYBH5L2lcKV0YOfY0FpFShQoECBAgUeeRzj4QHuc/DoPHJ8Mr5YQPPRRGHsMrS0MJlcluWjNTsOUp2p0WkwiyJk7PLe2tpAxBa657umMvSdO9dx8+Y1AMBMaxFnL7xA3yLssV9n0tnzkJhptExdGccWiBRZtbd2uuiN6ET05OlV/MmfEU0T7F7HVondwYNDlCucZTY6wPYWnSQtG8jYio8O1/HES3SKG4UOTq2Si7zbj/EH/4Q8BSVbY8Cuc3vrNroNasxR+x6UJit+ry3h8Cn99JnHYVvT0yEkPpbbtuMAbxLcy8sJUFVkAMgyxwSceyUXAQedteozmJ8nb89wNMS9HQp4XV9fh8tBiCXPxisvkZfm4G/9Ov7F7/1LAKS3k+tMnDx5Em+//TYA4Otf/308/jgFpZ8+vY5zZ6g2i5Q+Tp6cTodHxzGsMp0W2p0biDia3xu0EQzJS7T+2MuozZO37GjvHpzSeGDnpwttlbB5h2iOTudHSPISDFCYaZFHZXa2haN98hJ0Ox1THgTlVdjsvhfSGpeWwIT/UWsjcgitoR7CMymlNEJjlUoNjsuZKkmCrJqf7lz4IArjaL8OVtpH1bOgeLz0el3jWQoO2qhwLa0zqy2cOkltWXdb8Bs0R6/sdJFyIHEvjOCyG9pxfCwsrAMgifyIxe6SJMIwJDo6TTTKnM0yDaga+bhMxihkobxYoNsnr2Ewik2ZA5XGWGavzs9/4ctYO0HPl+oPceVxCPzFX/5bAEB3cIjvvvZtAMA7716EyL0Pno+8YNXy8go+//lXqF12gos/Iq+g5QYIOei2VKqZMgb9wQgOeyinwaRIqus5kHlWq7BRY32nWqNsaLs4CHHmNNF5g37XUMSnTp4wAf7D7h5aNWrvqaUqfBYHtVSE3S2iGQ46I+x3aF606hVTJuPjWx3sDThA3Qtw8R3KpHzyqTNwy6xJVnJhW9MtsK5tYzjiNTHO4HKts6o/g2efoTqFX/3iL+GIy9VcvnIL73OtwTf/+deNZ6sxuwybs8qkUEiYztjZPMDsPHl7tCWx8yPyzN3bumtqRQkIo0skpDBB6JY1rl0FfCIz6iHmopA27tyhte/O3XvGuzk7fwHz3Mczpz2ceYz2vE6UIGFK0JIetOHbJrSs0nSiTEpqPD9pmprak1mamud/fxV1OeERskw2ZxTGiEbUrgunn8Rsc/osrWCYYusmebFGQYZKXrtv/gSGPEdvL5/AC3fJg1/OApR5D9hxKrjFmm5Pt0oYjIhirW5sIfrSlwEA7XsH6P2AMpCrDQEZjZMMwJmX+q8twvlLorV722X8uwu0H7w4EHidM6J3Dg6w9B6XBrIE2qsPZj5+qhgeCRhRMIgJ+lNk0Lx5SNgQeR41JDDhzHdZOIzqHLFiaaM1VmyWFiQPivrsAt74HonvffDee6jWSLV46eTahPjZRM78Q2Ll5JLZiJEpNJnSuLfbR50nVtLZw0vPEKXxh3t9vLdL96YCYLhND/z86XWsn6IU5ffffxeJpoF5e2MPr32XDCHHs/CNf0sL9+piFX6JFgN32EH8+/+KWlJtILlK6dNWdREfX6INuHdwD+/9gEWeggh/xSU34dPPvXRsGx2bEjIJYswJa0BO9Ft+hRYKccx1r1KBmqTftSCg+Jl6no8hU5DD0QhVzh6BlPDZnfnX/8Zfh83Uwmuv/SVmOM4nyzKTbbKxsYFPfYoWwjhO8Y//8e8CAP7q134RO1yA7pd/8csPbJ9fb6KxSpNhEB3i8IDc5VAxtgaUHZiihYUGGwlaQ3JKb5YmJl/jcGfDiDIm/RQWLzozi2dR5jimzvYNU7zSsx2UFGVBRPfeQJpTWkKO9TEnY3iUGksyqMwsanNP/vID20f3mWI0zGs5VVEuU1v29wcAL+i2EIYi1o7Dpg/Vm+lF9DzbQTZeZ1ONiFPy47t7kBa5pP1SA3HEGXKOhwUWhktFZDKhHMfHiNVpVWbBdVksbHEZs6BnEcUhKpXpU7a9moeQpQ6ErVHhTVwnAtGQaQAF+IKehePa+NzLL1MbbQfvvU+Zjp/97GfQaNCY/cb/+02zEL/0M5/FtZtkrL4rMoSc4dWPQ2iR8j2v4TOfpjkVJB1cvvUW96EHi2ntLANCFtSLFSXxTwsNCYfjIcqegyqnojeqNZN+HkSxiXc7d+4EVpbJ2L63vYcWZ065dgap+AkHRyixQaKTAClnVbb3d8wcTUQFEcdWjSKJSxs0Hg66EVqzLD46IyH53oaBwhLXtRoNQshsukK+nX4XNheYnS2XMeyxCOnMLM4/SWuoW6+ju8+K3TpDdZ5TkrtdXP+Y5m7rzh6eOE/ZhGE8xB4Xkl06eRoL63T9xStXMUzIoEvQh86NCmXBYaNYSgdC5BlM9n3p3vm8lFKYA940iJIhooTW8aPuIRoL1E+dToZ9Fmucn2+gVKax30/6CNh4T5VCri8i9LhmnZSSCp2CM8iMXMREirpSyHh/jaLIGDZZmpi4qUF/gA4rKi8vrsDStJ91OyPcun5l6jb292J4JbrP5oKLCh90hjc/wKd/ltar7sjHNzjr8alvfQfnWL6iZKVYeJqKKv/dG7exv0tG6W+utPDUa3SAWLCAey0ap9F8A3o553MrSB6n55vVHVR+RNf48z5aKzROf+s7H5mitD/nlhDw0AwdG6XlB9N2BaVVoECBAgUKFHjk8VN5eAQErIlo9/zPDGrMLCmYDCwhxsFikNKUnCAvCB+FbWki0JUSyMCnhMU1vPTZzwEA9ncPxkHUOo+6pzu6LwL0Iaz1/+t//k20WJBpdXUVj33lbwIADvZ2UOeAzv3ODpZPU4bUKNbwU7Kgr378LhS7ua9dfBuf+eJXAQDl+jxuXScvzdzLLn71r1HgbJrEuHaL3P0nVht4+/usV4EKxKfJyyGvXAX+CmndlG5egRvTbz1+5iT29ugE/qf/zx9i7dd/aeo22rZzX5fk7l6NcQkEYNJTp6D5L3E0RBrQaUlUxplFUZwYF7zSGkmuL6MB8OnUdS187nP07BzHRRCQVd7pHCFgQcAoinDzJnnA1tbWsc8ZGO+++w76fTrVHefhUWkIPSS35srSefT26XNJlMD3mELc3oBu0yleZREGHepXrZUJcA3bl2BXyQ39+PO/gtxHIpEhPCRqLAyGJuB56cQKVlaJbsjCI0DlY3zCVa7HHSuUGlNdSkGo6QPPw+EQm3eIAt3avI6z5ylgfG7+BKA4IynO0OD42bZ2oWvkVq4vnEV/h053QdwFuLq3UqlJLMhSge4hPR/l2fAW+D6dGfg+PecECco8d3udHnTGXtjGHDTTQ5nWSDPuN6kxGj04a2IStuOgxtGRQmu47G2IgwQ2n9J30MPSAlFXKyurWOHsrW/8+Z/DYmrpyfBZrF2gE+bymVXs3GFxtMfOodYk9/q3vvMdDDkA23LtccmJZIR9Dur+4fvfx94+JS7MLtVR5dIPWaowGLB3RWqEYe5LOx6WZRlvYcV3Ua2wh6dewS5nJWoIvPzp5/ie1wyddO7saQxY5O47330T9Rp9jw0Jh70D/X4fFZuz1Twbs3XyDu20I2SaBsdHN/ex0easp3oLayx0euZ0E4tcDzAIUyxzWYK672Bvb7o6TFbNMiVK+t0BOveoj1988lXUWZvs2o2b2OGSIHc3t/DDHxKNFo4CiAr95iDZwd0tmtNVz8XaaZqX9lwfH9+hzMgrmxdRW+a+rK+ge481vDoBFHvgdKJQ8pi61Aqaa0KlSpsSRxoAnOnP/rc3b2DI4Q71cglxTN6eSz96Hxcep4DeucVZALSvrC3P4Yi9sxu7u0hZr8vWlmFKhLBg8XPOLBhdKJlQpi9AOnEJBye7joORpHE3HMTocFZztzPEPFP3c601qD61KwiG2O9Ol/UKANVaFR6Pa1sC87M0z770y7+Bwy0KVF63dmFXybvVbLmoC2pvd2EG//ctWtMrjSq2aQrh7125gt//HJVTEi96KJdZo200A5TG7I51k0MSvn4XKYcV+FkNlz+m5KVL1zYwCmg8vlSbR5nDR7aSEC9+7d+rltaPhxYwKqv53wkTFFVJwWfdNqVTaBYKShMLkusAea4av58qpFwfyvJcKKNS6WHpBLk2F0+cgwJNiEzrsfEjYESZtBRm35kG55dcVKo0ERsnz+KtN8ktHgP4kz8gvv+FZ59CZpMB84VnF/BvuOjn3HwNvkcPbT6Yw6UP3wEAPPfSz+DOdVI2Puim+LPXaIBkaQbHo0V5c38bBx0avLOzLtxz1MbYtvDRJl1/d+MmSsyd7rV78DiGY7e9h6vM8U8D23I+oeSZc8jj56UBs/lpoSA8Vt1NYRZ0ezhAa5HeT5XGwR4X+vN8Q2M1m82xIrB2UObaW1/84pfQYxGsixc/xNmzFKvT6/UMR/3hhx/iDmfR3Lh1GadOnZqqfVoBR5w5Va7O4Ql2ndvlGaR5+ui7f4ndbTIYK40mHF5clM4QcKpv/7ADd0Sbfjhfh/R5elgCFrvIS34Dgot+nn3mKcw//jMAAGk5xmAXEON8rMkgHq2NGBmgjVE5DVzXRa9Pz/zS5Xdx+RqN0xeefwWfep7uoVKqosv1bLaPAiw88SUAQHV5GXuHtOqMrA4SjrGwpQOJ8XMe8dxKRRUDxWnRM2vIOFU4GvRNWnScJNCCFvEMHposjlctNXDAWT9B0MFwNP047XUHqDJVN1OvmgymeBRhcZZix2ZbfayvUf2yV199FQecug4nxtPPk5Fw+sJZLJ+kjfsX/5Ov4Ov/lMbG/sE+8pi15ZVZCD/f/DJYvOHFyQjffo0KGV67dQmVuTw+x0L3iNqbJIkx3jWUSZ+eBp4jUXZzeiiDw/NMWBIZb9JPPnkezzxF9LhjCwTc/37dxyEbKoNAQ7OqrGsJzHNfeR5gCRZoqzVwdERz987GATZZOfdeJ0DGYn+jYYT9e9SHF84sY2eHNs4z5/q49B4ZItVyFbVqZar2DYehWcf7hyOcPXEeAPCVz/0coj7de7t9iHubNBc3b93CiOOJ+oM+Mk33GPR24SxQYcpqtYqbW1SHq73VQ4fHVIrExI9KV6BUo/XRETYCFqmLgwTgrLgsDgE+7JEcOr2UQk5K1x6LURihxYrXr776GXz4Dq3XcRLhqScpHrFcLxv1/CxNEXKx1na7jZDXx2a1aWJysiwzhlCSxUYGII4TQ5WrNEXM1FgYRAjYGBgOhhhwjJvrlGEx5dvt9NHy6T6jZGjq702Dr/3Gc8g0xySmNnRGY3zj3hVcOEuKyk/Ji1go36b7XG1CuRSy8Pq3AwQ05XB0sI8kor7dHUS4eYLGxhPfPED5gA3juQgBi4Datocwr+Hm1wE2gN8QGd67QYfOU+dP48Y1Mqg+qNRx4mk6xGxqYLGz8sB2FZRWgQIFChQoUOCRx8NE2xkowAjZ3Y+xlby2toyVFbK8kiQwWQ17Oz1U2Wo7cbKVF9NF+6CHI9YzWFxaNsFZYZLh6o3b9DolDw7AAV+GjhFjD494CPcOgM//zb8DLhOC1z++jH1JlmY5ULDAJQfaQ/RHZF3u7+4i7rMOiAS2Nlh2f75lTviD9g5sFg5TcQ/LFRa/OzxAb5elvvtHGPa5evehwt/+e/8rAKAXBHA44yVLQlx4gqi0X/21/xy//ff/FwBAZ/8Af/Hdt6Zuo23f7+GxjNz//ZRW7ooWIoPifqYgVX4WwQgxZ9L5pTp2WNY9SVITOKuUQqORBydrU/coyzIsLZH1PTc3b0pLXLlyBXdYGvzatbcQc4bVfrv9E8bYj2lfYwGStVlgW8hC6uMs6GGYZw8FfVNjRg5GcFmW39LCnL6iKEHJpz6Ij+6hvELuabtUNaesRAkILiGysLQMx6XvyZQwmT6T0PedHPXYHaphajxNgzAIoDkQXloZOm3y5Pzg9T83da8eu/AMNrlURIJ5vPyFrwEALn/wFgYWPZO01EKUsF5JlsDjLMAsSZC5RCeNZNm4mzPbQYXFJquOgGSNIy1s7O/fBgC0D3YwGNK8qVWPUKvSvBd2DX51+gymXndo0hxqVR9hRO2t16uwNH1Pa66OlVU6+c+0qnj/IgVBnlxp4cQi3fPK/AIkB4RfuvgOKhx8eeLEMj66TJ5Xv2ThySeJ9grSEIMBZyJW57C0SN9//dYlI6gYhglG7P2zHcsEYyudoupP7+Ep+w4a1TzbzofDwoO7BwdoNul7nn/uAma4RIjSAvUW9WcWB4YifOGFp5Ak5L2JgwEcDj63pAXFfXXvXhdXr5LH9KCbYhDT+HQ9H2AvpSMllhaIrrhzZwedLgXtf+al5/HHf/An1Lcn1/AzP/cLU7Wvs9Uzdc+EcrD8FFEeVy5dw3tvExUlbIlbt2n8vvPuh/CYdq7Uq0hZ0c8TM0hj6qfLN26jnZBHKKlksJm2zXSGgH+r4pSN91wnGi5vWG7FBcJcWDYzgoS2sKG5HqEl7fuSN47D0tKaCfyPlxzcuExescEgRY/3hmEUY4894NvbG9japbX+oHtk9qhzZ8+ixnXHKNt5XFopDwfJlEbE9xkO+lS5HkAQJGZPTWNgeY4YglazZe6zd3SEIw5gz2yFUml6vagF50ucdQ3AG4c4XNu7jg6HI3zoPY01piPXbl01nu9bRwG2ujQe/8Yvfg0DzrD7R//0n+Gdb5J37gg2Yt5jOvUZuOfIo5kIC4qp6WEaYb9Pa/nbl65hj7PwvvzpT2OLS1Gk66uIl2i+LkoXw9LSA9v1U8bwfOLv96X3sWBgezBOp8uisdJy4kAN6f0bt3e5mhowHEZG3Eoe9k0cRBQnyLgjhZBmgxb/PrnoE7j7o29CJLTo7PU99DkVc//mBjRz4dIqo8sd/9Z7P4TPLunHnnoev/DVrwAA/uFv/wNUSjT59jZvocL89zvvvoUPPngdAJAEClGSR9ZnqFS4gJ7U+OHbbMCoDLNztHCrVGF+jgbwTL1s4htOnzqJmdp0LmYAsCzHiJoJIWGxCBbFWY0nGSYoQs28oLDGdV38SgkDVkWuVWdRYeG5q1ev4doNovykEHjmWeJRz527gLWTREsppTDkuAfLknC5MODdu3fxve99DwApMLeYGhkGHbzwwnPTta+6AERclNUWRuE7iwM4Ef1mtVZDzJtyEgQQHI9hOy7kKOeqLXicWeH6ZTicsWdVmsjYTa/6fZSYvputCegjSqlVqTILmYYeHxAyYRYLpZSJG8iUMllazceOr6VVqzWxtEgGWJYl6PPGNBz08eYb3wAA3LrxITJeHPvdISz/NQDAhx+8g3hAi7InHERM61Q8D15ecDOIEdocN3f2OSyfpZiy/jCCyljdt5IgZcOyN+hBcIyNFQqETLfZUkKBnsXRURu+9zBnt5dsAAAgAElEQVR0TwkO30MUxGbzQ6zg8VxMQoEqCwPeuHkd3/5LyuA8ubKE8yxjULUtvP/m9wEA/+5P/gjra2RoV2tVjFhiwS87JgtFJxaaddr0X3npyzizRvFR3//h9zDkee/6tmmL51smrkLpFPoh1KRtS2CmzmPM89AdcuFaASwukWGzsNiA7dH47A1iRDxmpC6hwxResy7hs4E9ShRcHvPDXg+b27TR7mx3MRrxfYoSylwbqVn2UKrR2K6Wq4aeO+oN8eQFOmC1t/ewd8CHm3KIK1duAwB+/pj2iVEKkY3Tw/sdGnfvvfMD3LnF9RRtG5bNqvTQEDp/toFRxfY9D8OAxlGU9uA2uHaVB2Rs5GSZhsPWj5QSiuunaVuPBfocF0mP+zhWkLyJu5aNkpvTuWoyLuNYHB4Ox4ZwoJHkqvfCxsYWbcTbu9u4zYr83W4bCR8mbdcxB8vt7XtYXhoLLbosuhnHGSI+hfd6Axx1aQwOO31IPqCUy3U02RD2nBIaVY4vyyLc26XD+WB4hN0D6sNKq47VlQfXmZpEP0wM3S2FxuYuPcfv/uAaqh9QrcS1lZO4++3vAgBKOsWQD6ubSQRvgeJf7SzCMhek9Wwb/9MViiVUUkDy3m9dvwrXobZrnWF+nvaAURDiytVrfEcSK1yQOzg8wt4eGZB7+7s4tcbG3tpp7IcPNmkKSqtAgQIFChQo8Mjjp6ul9Qnc7+EhHHYGOGI9AC0y48mx7ZJxzac6HNes1RKCPQ+94R6AcYBVnvslBFmbdP0n72JStH96bB9+jJZFLrG6vYQsoZNHvd7A42coAO2Jxy/g4o/oJP9n/2YfpUU6Mb746Wfx2GPkFl9aXsbGbQ6sOxqizq7FmZkGKqy3oy1rXL4BmcmWKpfK8PjEWJGpidD/8MoNfPgBBaeGYYaAg4d/5eUzeGZ9ekE3S471J4QQsMVYlG2S0jI1J7QeB35rGG9btVpGP6eFhMT5cxSQqJDhBrf97tYWfvgOBW+vrq7hs595FQDw9NNPo87aO67nGJ2JVqtldHjm5ubxgx+8AQAYjYbY2NiYqn3SK0FbfGL0HUjOorMcFxl7FhvzEiUW09u6dA2W4uyOchMjDkadXV7DElekT9OREQKz7KqhUrPDA1Qs+mxrfhGSTya2TMZ6OxAk1gIKas1VOgWUOc1KZFCYPojw3LlxhfnHH38Kuzvk4r9z5wYcrm1z2Okg5JIm+zub2N4hOgOZwOCI3h+EXSTsj2/Vyjg1Tyf9UFfQmKdA8mdf+QWUZ07zZ21EXKMoiA5x4+bHAIBED0y2V8mfMSfqUEk0WxRUPD/vYmFhYeo2tmbmkTFlOhpFKHP23M5OG7Yz5HtexEyJTozvXvoQB116dmfXZ7DEp+XrV9/Dm98lr9eMbxuBvj/9xp/g9gb1yUyjjpzfsJRGwyWvy4mlZcwwNVaZqaPK3uWZagXVGaaWshgWz9c4HiGOp6szBdBPltj7a/kuUs4Uq5U9UwMpiSNYzAQmCdUrBIAUIZZPkBervXsT1bxie5RhwB6B/d0O9g7y4GobSowF6RpMn9QbZTSa1EbPL6PP2kfN1gXMMFV35UdX8dnPk8bRz/3iL+HS5atTta8yU0au6amVRCZpvZhdXMLePt3L/t4hXKax5mYX0e3S74/6I0gOuJYlFyl/VlUC2HUWhxWA4nIiDixwuS8IlRrxQM+376PY4eTzDwBnmTquhGaKxBLCeLSnQbcXI9fSaR/00WNNmDQL8f03aP1qHx0YEcULjz+BGzdofewPBmbt27/XxrBL491xHJOksbtzgGA0zvwrOdRXjYUFlD3OYhQybwo8z8GAvWE7OxvoDTr8yRQj1gtyUh8xC6NOg7maDcEJFhYy+OyRe7cU4Y03iMb63ug1DLmMUBjHCKM8iN7CE1wvLrIkBHvSdtsH6HJwstIKLl+TKYUyU7ue62F3i8UbZ1p4+gnK6to77GLEa/kf//l3sLROXljPL8HiNThILNjpg3f/6Q2eSW0/Maau7rtkMn5Guib9XCMzllCSjWNCtHDHMQ5CGLeiEGLsehLmD/rN46yZh9QfbC1+DRHHZ9QOO7h9kdx1r7/5Doa8kNUaM2ZR8G3b1MO6ceUyAub+e/0AjSp1fBUuFrj+1IXzZxGy+JeV9HDArsE0jvHBLdq0Lh/2sb5IxsBLZ+cQIZ+gKWx+mNeu30CVxZ/agYW37tDgnSY5XVIxF3othTEy5Sey+a2JWi5GeVSO9YCzKIIALYhRFKLGbvHnnnseqyfJUHjrrTfR7dIG8+HF9/HxReLtn33uWZw/TyJVq6srWDlBm9Mrr7yC7W2KOxkOBtjaImPyxo3L2ON6W8ch2r8Nx6d7Se1ZaE6PFFmIiBeC0swsFpfWAQBxIDG8SRSc6o2gbFpQ1p/7HGoz9Nl719/FgGmj2gzgcEyWU51Bg4XSKkvPAay0LLSCyFWrocfp5xO1fKAnFF017jc2j8Hmxi10jmgha840MTdHFIwW4yKCS0sC3X3qy157H70OURutZh0pxzEEgQXeL9DthbjFmSFhpDDv0XN7+61vIWEKz/PLebgHmq0FrCzQhutKF23OqGnvdBEydej6dUr5Askf3Ln98dRt3G/vo8SLYBqMAM5KtF3HZK1ICfgcq7G3sw2fU46FUOgcUXs/unQRWyx21pypgW0TbO/cg50Xa8wAyQ3zvQrSXIYhDmHxQr+0OAuP45qEJTDIM7N0Bhe5IeF8om7a8cipC20JuA6nHEuNziH1//7ePlZO0HrQbNTRmKXD0872PVSr9LqzeQvte2S8JanAcJQXUbUAK1fDtlFm6rhSKWOmwbFY1TI8zixzvBIWOWbJsm0kKdGXs8trePWLlOV36txjaDGdehxiPzOHunLJxw7HKcY6wMwSzbMkGyCOue6g8uDyA/IcheVVjl3KAgyZSvXqJSQ2xwWlGRwu5KsDBZHmKsrSFOaVUppwijTNIJju04lCNKTvDJIMFTYkypUK0mT6Z5gpGxHXebt7t4M+U/VajNAL6RmunzmFCxeeMP3QYzmB9uEhHC76mmQpRhxPV6+5QExjarY8D1EeK0VnTJ9Zlk/xkgDSLELuFNg72MZBh/p5FAxh23mfCAiWrBgMhxNCvccjzaSh6G3hocKK2T/7xS/i3i4ZLVubd+ElTM9Ky9TB00rjiA9Y/+Sf/S58Ftf8q1/9Cubm6NDp+B5cnt/Xb24buk0KiT6PZc/zYDNluX3QQcwDy5IWYl7EhCVNLUbLcaGPIa0KSqtAgQIFChQo8Mjjp6S0xCd0Xe6TtQNAdbWMn0ZMuofGwcZC/+Sf13lgrbivnNf434EJa06ajB4h5Sfu58EINi6izW7F29sHkJzhU3FjfHCDrGbc3kbdo9964vy68bq8+/6HuMN6ElonWK6yEFu5hMMOnb4++t41hEwDjZTGKGCBviTFdpt+qz1KEQ7IIr519wCjNM/GEWiwUNrCwgL2OdL/jY87aDSmp7Ry6oxey/sC9Ix2ox7XSpMTna4lTMmPeDSE3+DqtXFsAvEa9RZC1oRwbQsWB8KWfAuDHp2Kv/+91/DeuxSYfWr9NM4/RrTHk08+aaoBr66u4LlnSUOn3+saj8Zx0EmAMuu0eJUaBgE9z6DfRRbQycqtNFGqkWfmsS98FddYC6N98xZOfZ5CMU88+2mMOuQhsStNxEzDKhCNAQDSLaPMdWJENgRY9ApKmM68LzNLTLjRtB6LO+pxv05z6vAcDyWX+qnXbcMN6XSUJAn292lchFEIwSVBRBbAY/rM1SlsyQGobmayCbUUSNgbo3WC3W3yeh11dyDZM9BqLsDj153D69jdI+n/NLHMyXMYD6BTLlGRhWh3aYycO/MC/FJ1itYRdg92UGXxrplKGTPzRAlU6xUT7O/BRsQlLZr1Ek4scV2+ZIhOh+ZifaaGCpcxSaWGy0J/dddDxFkuOk5Qyk/aUQybA4lHox6SgOZiyRPos1cnyVIMBnSylRJGar9aLaFanb4KdZJmGPH4jNMQGXtUyo0KSlyNXSsF1+UsI0/DAfVtGg7MPINVxiF1A1SSQrMwo10qoVJhz0W1gip7ciqeB7+ce8xsQwM4XgmVCj2jSr2BWc7Ymp1fMvXjYDtozU0XfF6q+Eh5XGtbAza1o5d2AUltnZm3kIa0Jvm2RuzzvLEAv8F126LQJKu4ZQcjpvMHoz4qHmcKllLUuH2+W0afvSiNCQ2n0WgAxXM0DTLcvUHzOxiGaDZoba2Ua4iD6QPPNzZ20euQF2Lr7gFSpsaqdQ+PPf0iAGB+cRaCPVFhkOL0OtH/aaxhsXdwfmbFJEBIKZAyDe55NjzW/YqTCCnot4bRyFBXvf4+hkNaH8NsBMUaO8IBfKYlS34Fukv9lqoI1cr0iS4KrvEcZxImrGFtdRW/+V/9BgCg3+/B4jAI33Ph8vqktMA+68RpBRPK0JytmwzhXj/AZc6+Pnu2joT3vCiMjIDrYBBCKRrvJbeEspXXDgOsBv2WtG0TLqOFRJL9h6K0PiFkfJxRQQbJxK4pMvMvRl1S319jayyCJ0wH//9NqVwc7xP/NqFB+DDJW/PqJmRMg2KUCiQWLUYvLM2gxwXubrSHqPk0SIejERoz9AP1cgVDVgMuVTy89ja57wdHR4i4WbkyMUCp2fmmKKUFl11xjXoJrRkapHGq0XRpQltSIB7RIjs8OsA8GxuNqm/Ub6eBnHhWJLJF+OQjNHE+ECbDWkOaOi1KZcZtKaVAliuG2pbJuqo3GuP9XSmzqUNr9Djb4MrlSxgxR12rVPEpVpkul8o49xjHTT39NN5///2p2ufUliA5JkDrcWyUcJqozFNfluqzENzfs8trGH6KFKD3joZoniXXs1OqQfdpASrNn4Rr0vdtk46vhQVIVioe3oUO81gd3JdybuJ5tIDmhVtnGRS/VmlmFrj6heOztKqVpqEbtm5cQZ+Fxuq1Wexsk8pX52gfZcEqpQhQyQ1PrQxNOhIxmEWBBYG8BG9iC2Q8Nj3bhsVjECI2dYPiVOGQKTMLHixW903SGIo35WG4jyAl2rbq1/D0M185tm05Tq6fhMO0YLNWRZXF7jIk0BanEFsaGtQPlbIDm2tghaMjXLlC9Gm92URjljazOEtMrbwsGsdPVGebZgMQ0kI3yN30t7EwSzEzKg1xxFmJ1VrdxGQAGVym0qA14nT6GJ44ybDfpv7xvXH9pFLJMc+l2+kaAzJM2shCNuAHHdhsQKyun8Jpjvn4+OJHqHB8zuLiIhoztE44jg3bZpV0y4XLcRL1mQbKVbrG80uoMDXt+j5slpFwvRIyphG1jBByBs5xGB6O4HDavW1LI+iYxTH6uer2KEDG83+lVYJk2uVoeASbKeXMVejsk+EZd1IInnOe6yGJaIzYjkDIB5EkkOYwmYRH0C2WnbAyo8CdWDBxW8LWSDgAqD/qAWq6WmEA0O6MDDWWpSHqrJa9PD+PWY4vizoR8r1KZR6sjNbH04vPYTRiWZORQsZUs1+yDeXUCw4QczZknIxMDF1v0EMcc8YZFFQeD2iNaW2ttRnvvpdhtkH7RJZ5qHnTFw+FGLsThNImMlYJCyWel7VGA5rvQWcZJFOHthBocrwbpMh1HxHHITI23qo1B0vzdM3lGxtwOTuzPjuLIYePpLARxbxeQpv6mlGqDLUXBxFiPnilmTLU9E9CQWkVKFCgQIECBR55PNDDo/VEIPGEuB8kJiTyxxQJaSrwZ6nY1fgaA2Hevl9JR0xkEknzL0KM5fjJ0TD+xFh3UCNXglJKmcycaXBxu4Uk5RpCSy3c2iQ34b5uozpPVuSiOEJ3QBb3wb1DzHJGxIkT66iyKNuVj68hYFd1ZaaBBQ7IqlV8+F7+uoQae2l830ONZfRt10WNA7uEGFeKF8IeW9YqhVI5xaIeirazICaq2I8rA09+h1LKVFEXatIjNBbU0wKm3ovve8aF6bg26nXqh9WVFdRrLDwYK4yG1CdyQpQviWO0uUYRdIZ51pOwLYndNp0Ct7e3UeFT6HEY9AfIbHbL1zxzGiw1F1Dh05fnlmCxjspoGCPjIOf5xz8NdtLg6LCLhOsNodREFue1t5Q5JbpOCZLFBuHVoG12hesUYsKblZdFF5nOPa7QclypHiIzwbTT4NSp08Ad/lmnhUOufr4z2ETC2REz9TnImHRaokFgtGK0ULD5pF0uuRA5DeBVzVhLM4F2j9zQKlVIjMheFZJThpKob7QzIBUg2cMnJRTXvsuSDHpEp9ArH38L3UOi2/7LX/+5Y9tYrVfh8OC0bAvdPNjfE8g4QNNLQ2h2c1erLmp8ghVaYIv1RzYP7kHy84JtG9o2SVM4Tk6HOOhzRlAQ9XHYprY7tkDIQmmNWgndmOmBig/Hyr0ACnmJCqXTHys4+ZOQZJkRlWvUq0abKgqHJuMvGIbodsi7IYWASmlOeDbQYK2e2blZlNiruv74GcxzYLNnC2im0LvtDrwZoqXm1y8AHCbg2Lbx5JDHkrNlshSmDIMev47DCNaUZVB8lJBy6ZIwCqB4HmiVoczroCtdKL7Hkl3BgKeQEg4E6L46R3tGu00qByp3mWsJy801whQSDjbOMgVb0/f3D7vo7dI6Xqt58FgIM4oU0jSveJ9iyGM8FTEk/+40mJ9dwcihZ1L1KnA01zSTDgZHdD9hmCJmYcgwTpGyF1AIDStXP7QUAGr8oDsw1w+TyIiDKhWaEg/a0vArTOVIaUoEaZ0CQpn3c1bBksLMp9lm66FU67a3D8yeUamU4DrW+DutPMhcmjQNCAHJ9yO0glIcAiBhEgVsx4Xk+5HawolVCkOw3DIiLpnR7g7glIgCi8IIQx4nUZIa7aMkTU0b1URGMXnVH9zKYyktI/6oJwweIWAmPCY2Tj0WkaII8nHWlb4vQjzfGNQkUzamIiAMj6eFGttLwjJxOwLSpM1prUwKsYZGHE3Px+6KFoRPsR1SJWiw0F+91cLqKmUePR7GJqUvTlKMWJkXUhrxwFOvvoxqLlpnO3C93BhwYOWGBN3guL25/WhZY6NRWrB4YXVcFzbHtziOY2JdpJRQDxFxL8VYR1QKcR/FZa6RchwTJSwjikeGCn06Vcq8th0J180Xj8Qozz7xxJN4401KzfQcH1FEA3l/fx8eu9TlxPjZ39vF7dtEyaysruLMOmUBNWfq+M53vjtV+wZBgHItr/eUQZbI4NKZQpSzDZaACuheet02Du/S5pgc9nFgkSXR7R7CZsoOFinqAuAaZmPDX1hsnJbOQDr0/DUyjB+uhjQp6vdrLedWuq2VMdKngeMIzHMx2+eeeRnnz1K65nDUxxFnJ43CPrp7FDt2GGrYTM9WShLIRnz/KTzOOPMq83BZMsH3GsBtEvkK0z4SXlDq9SYsTg8fDRUiplil48Hi5x+POmbe20JBmkKMEQ4OcuGw4xFECVgMGGEqUeLYmyiNDR16ruFiY+MGXxPAq9M1gyDBiGMpfNdBicUJISRCzgjKXKA7IGNm++4hFhZpIwzjEZTHsSbx0LAbp8+cwg73rUBiDHxp2TjkjCrf91B6CKrA9zyznHm2hCzTeBv1+0hyqYZ6HUM2/DvtA3gcY9NaXMDhDo1bJwuxy+tQrV5Bm6UYfN/DiOM2bl3dQGWRvmfh/HMQzpiOVrw5UZxMHkuWIRpS/1iOY2IVPVGCNaUwn18ZbylxFEKz0eI5ZZQ4nsvOgMWTlPVVrTVxL+C56KQI+WAZBgoZH1ykRQc+gApO+5xdZdkKDtdDs7SFxOKYtUhg0OGCklsd+BXeG4SNXo/6puKWYLEhn0UKSk4/FweHAyS8rqVxhoCLh8ZRikzlho2C5AOH7Un4fJ9CZpB8n6mIEIQs0hkeYDiicaqUDYtFPbVITfFY2/Yo0AlAmiZmT7Vt2xzspJSI2EiwLQt+XgOwVLovvOI4/MXFO2YPqPk2SjzXdaawOE+03XyzioUZehYSGkGcx3RW4HJ2leOOpUEOuiOTPSeExl12LlTLDiyHpTWORuhwbbVMT66eGiq3GwQM/ae1RpqN7YDjDJ6C0ipQoECBAgUKPPI43sMz6aUxnhx5P11l3lcoc2kGKTPjShYCpoKu7/uIjbtOG6+FEMJYoFppU2NLyLEeQJJoI8qn7vNeaRPMFcaRCQadBuWyY0TThF01XiYpJCR7kFzXMZahhh5TaRPUT6Yy5P4qncEEXTuubXQCHNsztaVs2zYnZ8uyTLVelWUmICtJYiTcEVEUYTgcV2vOK+tOA2vC5S6EHD86MRYeFEIYD49W4sdSZkIoWKzx4PueyYzr9Y7M6bfVauHpp6m0xPvvvYunn34aAPD6668b6x7QsPNaXXFkvAOD3hGGIw4CL5Ww0MqDRB+Mw84ApRkWj3QkbG5TAmGoCim7xqMS9voAZ+vYtjJBsKP+IeyETkp+tQqPg/M8r2T6O40juExjSR0gT7uieTIRVq/HJ5Mx9Fh7R2sAE56/Y+A4jjlx1et1lNgzo5RAVKKxn6kUSydI62hxcQ23r5EApB7uosEBtzOlVQyHdKocdm8iHdJ4DLwKLK6+7UsHmoO0+0dbSJlOcm0g42ypJImgc+2STMEyzt8UWR7IqDP2fE2HVrOFztFYp8r1Oesj00YHJAVw7S555JySY7IyhqMQda7hJqQwNaGq1QoqNaYyQwE/4+yg0jjrwbIkFD/fKBlhmwOzm40ZnM6FKKEQcPDw9vY9s2Y4loQ9fbwrSiUPDs/7KIzN63JrHi+8QMH7L376RRztETV588Y3AM7G0XYJu1ukL3T3+iYODqiNKs4wO0dt/9SLLxqv5hOf+jxOcy0+2/FNwO7kOCRnK1O3SWTmveV47NGlAHvI6RpZbtnw2ANqZVU4oJN+OtJARn220FyAw9To3Z1NJOx9tF2FjIPQG6WqybZM0hQh886y7CFK2cvRj2BxYLWaWH+rtQoqeekPX5hyDCoTaHLZAs9ykXItKmkDaTwW+jsO23c3TP9ZlmXWRLfsoMJebNuRhi6GUAhjrgAedhGyJ2cUB0g56FojNbuxihOkcS4SmJkwAqW08ZZopSB4DbUtFyqnzCwLfh5qYDvG+2hZ1kOFQcRJbPbCbpShx8HVUgCDXRp3W+0BmlzuaKbqI2Baan4mMRXhj/ojU1rHltLo2UlY0EyJu13HzKEwVSYBJk4yk50ZJanZFycjVpQaB2+naXasttmDY3gAsyhQOnMuJChMKthkyrmQGidOUlpjs1Eap4oLYTY727bNJm7blvlslinYTOXEcYrRgHn6WhURu6qvXdtAHDOvKyb4wwnFYMuyfixl85NQrlRMIT0AUHn9LymRsaGQhjEs5v5dx4XH7j3X8Y3B5jq2eU3G2DjFNKfb0jQ1bR9FIdJhat5XuTLvRPYO5YqPX07ujPlCOQ0sMWHwSDlOOcf9cTy5waP0TzJ4YMaA57mGVusPeoau8nwfT/Iie/3qVZy/QOmYt27dwuYWua4lxqnawWiEjJ8vlMKQN6qjgxiOmM4F293dNBlMrcU1zC2z+rGAyYqKwwgJLyKOsOByzIPKMhPTolWGLK97paWJIRgMhybzoVlxsDrP14e3EfNmQdQf97OCMYS0UiZLS2XK3E+WjjO2GueOz2QqlXxTY+2o20XAtcPqMy2TNbF/4BmDBCrCzDxl8SSVJsplohOsqo9Bl9K3jw7umQygUdyD1kx7aQ+CDZXhoGsybTzpjoeggHmGlnThMP2QxEOzICmtAPshaDvXManIpZKPpSVaS6IoRsqLadQfwOOU4yCKEedp9cJGl43YxkxtvHlYGVI+mIRhCItVsh3bxcEBxRe5rkC9QnEDjXoDu1yvqts7wrBH/SxsCzZvJHEwhGfT9XPNGfq9KVEr+ybTsTuK8PxzNFd+4Wu/grOPP8H3U8KoS797ONLYYMq33elgwLWCfL+EpfVVAMDa6jpWWLit0WxixJTG7PpJlJt0EEhVNqFBPxE5KQQUzx3LdmEz7ZRpAcFrlbTEePM+BqWWD7abkXZjKF6va04Ds3Pz3O4+2oqFXFfKqDAFB2FRCjSAuXoDDRZ+PTzqQSd5anmKUcQxl3ECm42yRKXwuCh1FI81zEu1KlSYt9s2YneO5SLq0+8GydBIckwDvyTh+jn1LVHiQ77jCZOppHRiYk6CMEZ/RAevwbBjqKsknQgRsCzYnKnklmGKKKfp2DhN0wSSjRDLtsYEus6Q8PXato3Qn21JEx5B100f2+qWqvB5nyu5tolhBMaZxzrLcMRSDUEwNM6IewcdI+abZdrENvqeC4fHkWNpDLmOXJKOwDYj0iwd1xvMNIV7gMZpvscEYWjakqnUCE5qrY6l7QpKq0CBAgUKFCjwyEM8jNVXoECBAgUKFCjwHyMKD0+BAgUKFChQ4JFHYfAUKFCgQIECBR55FAZPgQIFChQoUOCRR2HwFChQoECBAgUeeRQGT4ECBQoUKFDgkUdh8BQoUKBAgQIFHnkUBk+BAgUKFChQ4JFHYfAUKFCgQIECBR55FAZPgQIFChQoUOCRR2HwFChQoECBAgUeeRQGT4ECBQoUKFDgkUdh8BQoUKBAgQIFHnkUBk+BAgUKFChQ4JFHYfAUKFCgQIECBR55FAZPgQIFChQoUOCRh/2gfxy983/qJE3oL1rDsiwAQJQmkPzacRxkStH7YYhhQNeHUYowDOn9KILWGgAghIBt0896rgshyObKVAZ+Ca0zc70lJSS9RBBFiPmaLE3hux4AoF6uQaV00SgIsH/QBgD8wn/7O+K4Dvg//uB39K996VcBAEoDc7U6AEBqjSCNAAC9UQ+u49A1WYr24SEA4Gg4QLMxAwC4fP0SIr7ncyfPoDXT5PsXaLfvAQDSdIizJ54CADRqc1B8D5M3qbVCf9QHAOy2D/D6+28CAN7+6A2sr58EAMzOz+HyB5cAAP/7//gPjm3jN/7Vb+nDI/rOYRAhGMYAgIREDKoAACAASURBVDiJ4Xke34PC/OwsAKBSqSDLMrp/S0BIej0KBgjCIbVFhYj5mt4wxM5eBwBw2B0h5DEQRRnihMePHN+mbVtwfGq95zuwLHqoYRgjClMAQDCKkSR0zbe/8cED2/h3/7v/Wj/5FPVrtd5Ar9Ph349w8uQa3ftohP6Q+mBrewNwXGprs4Wf+fIXAQCzzRlIm8b16O49NNaov5Ul4PMgzDT9BwBZlgCaxnKSCdjcT9AKfAlUlkIr/myW4toHHwMAdq7fxPbmDQDA3/n7//jYZ+g6LW05yvxuo0Tj9MTcaSDzAQCxrCHjX3YtBxZozDoqQbtN46XVzHBqlfrq9uY+FK8AQmpUPXoONVtj2N4FAPSCIQb8HKLMheXTuC5VZuHYVWp7nCHIqM9j1YNGyH0yhOCW7exsH9tGwHTbf6w4fr156yvatWnOZZ0a/uVv/wAA8Naf3obvlAEA62dr+NQz5wEAM+4arvGz2O3uIIlo7nYPh9i6S+uczBQ0aJ4peEh5PV5/soL/9L//eQBAWknQ7tP1JVmGpWicD5I+wj7NaRkoRJ2ArlF1XPzONgBg6/YhBn0a28M4eGAbf/N3PtIVm+bwQk2iWXG4YxRS3kscx0UQ0/ft9hViRV9Jc4vGoBYOsoTW39HRJkYDusfltcegeO4CEkLTZ4WWZonRAtCa2ic1ILXivgF0/v0AIHi+CoU4GgEAfuu/ee7YZ/gb/9vvanAfQwg4vDdYlmX2LQBQfI3WGoIngmVZUHxNqpW5Jl9vP3m9EMK81lqb64UQE3uqxI/zXQhuPwCoTJn3/8X/8J8d28Zvvv6R5scCYUn4Fi0UQo/371KpBAjqZw2Y94UQsHmt8jzH2ArQgM74WaeZaQsASCn5t2xjE0gFCF4ShC2guDFaaFi8cEkNKEHjTekUgqfg+lzlx7bxgQZPfzA0nSqlhNI02TIALi+OKkmR8KYWxwmimH48TRU0/7iUtvmeLMugeZCmmYbkRsRxagynTClk/IC0Uuaz7aND3OuRsVGr1gG+plouo+zToj8YxBgOwgc16z7862/+EfZ29wAApXILX/ns5wEAFoB3PnoXAPDh1Y9Qr5T4fYW7m3fpfvqHmJ9dBABc+dEtJCFN0LUz6zjJm6VOQwwGtNAk8QCvvPAqAOCxC89gdeUcAGA4CGE7NCjqtRq+9xYZOX/8rT9Dt3/I/RPi5u0PAACrC7NI9fR7w85OB0NeKKXlojukRa3b7cFxaPENgwB7bTII5ubmUK/Thtqseqj7tBD7joMBD/zhqASVUD+7woIj6TstK4Zl5YPdhuCBrCb2MiEERL7wJBIqo7ZnEZBFPN60Bc9+4PA0WFg5gbnFFQBAnCaoNBoAgKoW8Ev03MIwgES+cADSLEAOrDIZeoFykW3eAQDc+Ne/h+Uv/hIA4MwrX0QU0IJrSQFb8gLnC1x7/TUAQL+zh8c//2Vqn1L0I3l7eSW2hA2vSkZCa2EeYTqaqn0AUHbnkGT0fHyvjDRhwzDooky3AycrQ/HcigDkFrWVKjhWha7v7KJ0nj47U49gC7rPmueh4VNf7W3cgxjQNY5dQ7lEY8STFXiVeerPWCKJedERFnyXnqdnldHt0watsyRfD6fG5II+DfQU82Dyuyavn/Y3Hub7j4NlS8CiuViflXj+lVUAwKVL+9AJjQ00PAyTHgDg3IoPuMsAgDTs4srGFgBg77AHLaj/FWzofNGHgrCpD5vzNYQhjzFfoNakw1mlOgOR8fPqWsg0DaCo14XNr0WocbRzBAAY9CIkajoywJECvk39UbI0ylY+jgSEnxs/Gi4bG47tIhX0/iBK0Q/5cBWFONqnuXjnw++g3qRxp9fOw+K1xEIGR1BbLaGR25uZdJHxnKs6KU40+bCqgMMuXd8NLER8WFFCwZLTD1QpJTBhkORzXWsNnRs5gHmNiUO+EMK8L4WAUuPPTiKfB/bEGiilNBb1uLW0X+brWb7ejm9i7GiYZq7k8DwPQULjNElT2PxrtrSguf/jNEGmU/O7+WFLAIgzej9KY9i8Z9i2BfC4S5PUtFFKCWnx2NAZNMbGn5PbpLGAtugelABc/t1UakQ8xmIkcFT+2cqPbVdBaRUoUKBAgQIFHnk88Ag9GI2MO8q2bUNpaTF26ydJaqxUIS2I3PWvMtg2W21i7OoTaQrHzd+XxpWX2+wAkKUSSUpWW5IpBOw56QUZXv3ZrwIAFheWEQf0/kcX38XWvU0AQL+n0G73pu6AO9dvYp9PpOvLS7i9fREAoLTCrdu3AAC7+22UfbIukyhGOKB7jpMYUlyn14FGOiKL+N7uLj748G3qNxHD5vZ6voPrN68BAObm5rF2itzW/dHQnDCEcHDvYAcAcHdjw5y4gqMY1QZ7wIYdpGp6az3OMqT5YQMKfe63rZ02hkPyzo1GQ6QZ3X+tVkOzSdTFhVPL+NxnXwQAVEsutKDT/jAYGPoySmxIiz1g1tCMGSEkBNNVaTZ2YSqloNmro2CPPXuJZVyvEhKuN52Hx7UdWHyykULDzl3MGpDIPQbjU1QUR8brUrUtVGrU1sGwj95t8t6p/hHe/MafAQDWX/4CwBSS7Uj4fBq5feMKfvDHfwwAeOIzr2Knz6eOKEQcUR9rlcH3yAUfxxGiiE9EtoOZuZWp2gcAC611tI+IYsjSAcAnmSgcosLUrqtSKJ7SkZBIpW3u2Q7JA6ojBRXR/HjuiVX09si7GfdGyIb0nUJLaIu8epbrY761AABw/Flcv7sPAChXWlDsetYqgxR0vYYN32VvopTIsmDqNuafeRg8rJfmP5RX56eFZUkIPpFChjh5nrw6z710GpYm+vX8hQW0KnTNwWYbIqQ+aUkHc1Xq5yhKcJjkNJY03nQNBYe9717Nxh7TuKuLi/AcXsM6I2iODXBiD/aA5sXhtU2sufT9Nb8BO+G5myqoKT0gtsyg+F56UWYozbIjIfK5CG1ooNmKhZA9CZZK4PO87GUDdLo3AQDZ/hXUmjSH6r6CzSf9qisQMU2XRX3U6jSPK81FxOwBmJ+xcH6F5ofj2NjZp3u4ey/BIc/XTAoopt4eGkIY37XWekzfABATXp18XGs9brvOUmi+T2CC1hHix3o6lVLm73LCYyOhjUNZTVBjdM34Vh/GwxNFIUYhzV0FDc00pWs7cJgijNPE7CvSsie8UdrQhbZtkWcHgBRjClKlyqzBtm2bdd+CMB6eVGhYWR7nIs0Y1ELAtvJ9QgF8vUojxBF54rE0/2Pb9eAdRdpmIsVJZhZ6aVnI91ulYOjMNFVIcypKABY/WNsVSP8/9t40SLLrvBI7974t18qsvaqrqrt6Q6PRjQbQIDaRoCgSBLgvojTaraA18kiyHZ4IR8z4px3jCEd4foyl8Gik0EgjjuSRFSMGQZDiThEkQIAglgbQQO9LdVfXmpVZlevb7/WP73s3syiqO/unGXV/AIVC1st337vLd8853/k4gLFdxzwYpRTSAX41NfCeZX5vuXl0Wx0AwPuf/ghUgQb+X/4/X8Sxo8cAAB955mN49kv/LwDgnQsXsd3o3LZbu1ovgWZqRiQRausXAQCuBSxM0yY+UhmFIJIAVlzGjYv0UBs7KapVfpljNrZiXlC6EXLMM4zvn0Jjq0nfFSnECb2c7XoNHZ9+b3kW0oSus9PwIW16yUXLQsj6Ca8AZIBcGACdreE3Eq/gwuKArdUN0OwQzL1Rb2KnQdfp9npImLKUmztQiuDk8+9eACQ989l9U9jkDXJtrYlWl55zebQIy6V3F8dxf7JCmoGsVGomnwBgg67pwEWseDJJGzZTbIkK4cjhNicNNUBR2WYRkUJC8iSxpYX1GgWSZy9eQsrP0rt8DTscIPu9Ng6zbqvUDeHH1Ncv//WfoTBJ1KXUBs3GlR+/jDw/g9W1NdTeeAkA6cvijHIKAvT4eXdaLZw8TDRm0XOgBxanOzVLFjE+RjRpq7WOXqevw3KZTko7HaQJ/Wy7HhKGlQUkRgpl+nzoorFCQd2Jg7MAU8GRcLFRp3G9oyVC/rwQCpOTE9THWg+OS++tFwRmgZZSIA7pobQ7HTg81hw3D2D4Pq6tr6O+tQWA1oaMKh+E7wd/pvv7p8ZIJujQBoL/yc/3Nw8JpdXAn2XBg4Ye0D4M6hCF6bvE+PgYAGBhfuGOfXQcG4q1XtJJURil64+4MTbWqO8dfwTjc0Q/2bFG68oyAGAyl0P5XlrzJhs7eO0tOmw1o2RAIqdNQDAxMY5ciQL1zlYbknUzVjNByEFOM5LYvkZBQ3i9gw/+3P0AgMOHj+Brk3Tgu1lrYtg4UdgSMT+bjnYQR/Q9XqwMFWVLgQJ/PhExtJn/Ch7TYb36Fro1OhwirKNi0di8b0ZASHpm/nYN56/RwTLvOTh4+DHq96yNmDWdUgBJyNohW2N2gtblSt5BFNHPrusgVcMdrgAAuk85IVWw7H6QY5nDntil4cGANMSMHS0NvSXQD1Y0tNGxZHMAwC7NS/Yd9HkBweuZZVn9wENr8KNi/c/wAY/vBwizQ5sUZh4opRAPrFupzoIWBzLp36tgqtF2LNiJ3e8734JEXxoQJYnRNXmpAngNTmWKWGa0rYWUARElLAiXrp9PU3gtGhv+6jqaNdLLPnTy+E/t1x6ltdf22l7ba3ttr+21n/l227DWdnOQMhMeW31KC/1TEwmMWXWeKANnQlqQNp0GbduCsPhUIwUsFjGlSdKPECGQhX9JoiD5M4kAZhcPAADmDh3Ed1/4IQDg5R+9hcuX6MT+sY99GA+efggA8MMXz2GnOTzCI+IUNgvyNus7GK9wRNnOo7VJJ67UlbCKdFIqegXkGWWaCHI4eXie7t+zsOoRUuBKiYSFg/WgASsl2LrX6WHfPImpCiUg1tmJR0Iz/ecjgWZUp1py0XaZcoo03Oz5+ynsuwhVS6U86tt0bxubNVxfIuFjrbZtBMNaSAjB2Q9CQINOXa1ehC999dt0z8W8OT3EMWCx0HrUH0F1lM5sSZQOnIS1EZ8DFhz+W601HDvHfbfNu7ZtG0lCyEUQ6F3itdu1QahWCok+BiAMHCOlhMfjcapS7Z/6LRvNGiE5ta0NVHL0GX9jB10WU37rP30B3QFcIfRpfH3g/lNYzFO/z7x5BusvvUjfpQUyklYhNSip0sCRGRKgVrwxQO8+sd2uRQlgu4Q4jo3PY7RCY8rvrKPZInHpuFdFzPMpCneQtwjid7WEzaLWUIcQcZYFIZDLE5Kw2axjtUloX+gUzHWq+TxW14lK2+kCStF76/odKD6Ze54NKWlcj1QqEJJOXN2gu1tEeYf27/7w/8I3v/lNAJTc0OXMnDRNgAE6PUtWkIrGGEDC8Awuh+r/rISGGhhHu7Jf+L0IAJkmV+QsIMcnyVRDMZIm4r4QXUsBi2lKBY33P/l+AMBf/ce/uGMfNRQEn1qFbaE8Su+0XJH47tcpSWJ5bRknHzoIADh5YBFjLHQfzeehS/S9lu3igqQsv56OzXiOUw2XUc0Rpwi1QuhiY2MNCDnJI7LRqNEYXu9FSBmAHlN5VDwS/FeLecxNEcrnXARiMdxctCyrT+uIDBcHIk0JHwBgKYXQ58y/KAKz3lAQCFlkfePadawsEcLjCIFcnsadK2L0mkSrXnz1+1i7TijXkXtPIOdk7zOB4nUk1RqaM9LSVMGy+hRSoUC/z+ctJMnw6Eeskr7wWMpdImTBVHOi9EBiiTCMiC0tg0ZrraENSkOfo3/qn5rtNSg8HqR+pZAD1JWG1sr8PoP+HMsiwfyQzfd9g7xbjmMw0jCOoaOI7x+G1nbctH9PWpseWbHVz2KTFhh8pL1AZZRpAq1pn7ODCLJLe5W0UoDXYy0dyExQb7lQfA+t2ha23yZWpnHxKhLOtsPv/uZP7dftAx7bheNwCrnXD34USJMBABqByd6yHGGyPlIk0PwwEgW4nAHieZ55MHEUAVm6W2hDMtSbJqGhybqhj2qFIPWddhOOQwP/yKFj2GGqSGsbBw8fBgAcPLiIa1eXb9etXU1rDQRMG1U1qsz3NpdTTIw+SPcpPFhdmroHR6dQLpFeKMkl8LeYq8xJeKxjGSkVzcBM6ilyFgVLk0cn0NakF0p03SwMQS8ayEqLwQwFPCtGwoO3GyawmSYLwxhhtz9x79jSFFGPaLvNjW00GtlGAqSs21GqD/xrAA4HYI4lEfJiELX6NIZlWchlAZISiAKmHzQMjQRQBg9A2iRLZlk9Eh5TKSpNzbjy8h7t7ABkakGpfpBx26b7925JCeunpHQKITAzRbSUZ1uwWFeFyig+/MlfAgBcu3kTnbfPAABe/r//EJt8j9udNhSnEh87dhxnz1K23NrqGqZnaWw++qlfRuLS59MoMtohpJF5z2Eco+LlzP2MzUwP1z/Q5qj5+WlIeByoaBWiyxq0fdUY0/uIu97a0Qj5nSDV8Dwap6MHprG4jzbQ6vgYQkHj+sab16A5LVrFMSxNv885RXR6WWDmwmGNx6g3gpipYI2on+UiNOI00/AopGp4SuvcuXN4+y16ttKyoOL+GLeqdM9aK6jmP85uEw4Me3YXceQ/bi6AIk9AKYEWXzT+iQ3RyYIrjfN38R6VUiZLFdJGoULPc+b4NGaO0EK/fSvEyutLAIDjuoopDqo9G3DZRsIKI1QyacBIHjEyLV6KgkWfad1sILdJ3zUeJ6hk9K6wYPeoP+MaUHxwmcwX0fPpkHf23CommK6fnCjgVjMLXW7fLNsyBxgK+7NNtq/N0FCIkKVjW7B5jEgVo7ZOh4/VG1cQtIhqs3IurrO2Lv/qK1jjQGjr2tsosM4vX3AhmFqK47hPV0qJKKJnE0epoYo0NCzefYMgghgyoAMoq8vke1tAFiu5KkGJZR8tlULxfLWk1ddYiSzsA6IkNFYsUBZENod0AhMwDKS6a90PhCjbmQ9VKtmlEUpYNqGUhsjW35jW8mFbGIZApr2x+oFTEsdGnqIBIw2I0/QngjCWGKQ24iQLDoWhNR3bhu1k0pYUNvigW28gXL7JzzbBKK+vpXwZCh5/l8TKEgX7yxcuIqzRmM0rjZKxLPjpbY/S2mt7ba/ttb221/baz3y7LcLjuDYczgBxPNdAUwpAxJASZVllkL2C5WSRbLgLDfD4Orl8rq9GHxBwkYdBhhTZUCw088Meegxzrq+vYnqSMkYuvHsJ++fY60ZpFEoEqc/t24dS8afn4P+0Jl2B2VHOYPGAmE8bBxcOIOnNAADeevc8gluEGqUHF3GDI9CuH8D3s6wbG3aBT+9QiJhmkBomqoUAYs4kiNBGic33OiEQcYTrFCSUT/fQ6YWI2UAr6UbYbgV8TQk7P7xvRLfdQcDZQc1WF4FP1IXjOOYkpOLYUI2O0xeWJ3HENBG960yMq7WGx3Cj63pGNEkUZZ9Syq4pZf+ajuPAY/Frkuz2Y7D5hJTP5Qeuc/sm0DfuyrkutJ2dHtWuk16hQAhcsbAfkhGerSAysKxbKCE/Q5lTE/fdj1sbROXk0whPfYg8eRbm56F4nKb1LVguIQ9Ti4fg5mjcxXGEnMunaWggg4YtgZBpUr+xbU44wzRtUWYXACgtEfD8c3IVgNEYJ5dgcpyFgF0f20xjuk4eKiVUzy4oKIf+dmntJgIQUhTChsWAUAUKM6NMvU5O4cJ18oKyRAGpZmROCVh2Bs1Lc+pTOoBm1EjpBNK6Cy/BVCHD/qUk6gggb8dciedoqhAwWlmADZFj00pLQbEoV8cagueNAAzET/faPy1nqJTruogVdT6xFCw+JUrLBvI8lnTYN3ETQMYpp1rBvgsPF8/1Mq9KymBhkb43msOBRULnjuTymOLPT2kLBZvRBymRsxlF9kq49wDRXrHQ8FN6Jmtr2xCMKCabHTjsoXVwcg7lnM3PKsbELH1DqVzAzgYh5a4SkILWhtZ2DTNlus4HTy/ipfOrQ/VP2E5/3RcaDh+pHaHRxzaAmB9CqFwknLwRt7dw4wplya7dvGRM57SwsLJKNPx64+sQisZXATFm2e9sZvEgJmZm+CYkUkY5tAaCoJ8pGjGtF0d9EW+3HUPzHMJ9Q/QRwmQYkQ8PC3rTFCIba1oZKlUqYUS5UgqTrBBHAQzmoK0Bnb0y6JNSalf2ViYrSZLEzLkkSXYZFw4aFfbhToFUD7/eADDoU5Kmht5K0j6aJCCNmHlwn4Doo/yD3kSWZSHle0tFAluzF5PWsBLKJmxvLkNw5l3OFZBrjPzEgGXTmpTLleC/e4me59YWyh4jUY6Ebd0e4bntEygXPEieYLBtaKcPcTkZTytt5BjTS+PELMQacpdbsmNS9ADJC6UrbDh8s1oqBKzyjm0HSUQDUGiJ1WuUMbS1uo6Pf+5XAQAfefp9OHz4EABgu76BYplgZdctwLFv3+nBNjpRwsI+4qqTskSpQhOouDmCv/6b/0JdHCujtkFOsufXVzE6TTx3oPsOliIVUGwkl8Q9WGwYmMIBr8OozzZQniKTu0IwiqRGWRCJbSHw+IY8G1GHF18NSNZeSC0R7NCzdUdsVGfKQ/dRKw2wSdnG1jZCNiHM560Bgytnt3s2TyApJBQHgWmawuXA1bIcCGQQcmrckjN9AjVhBr5l9blc1+2/H9u2zQSybRsOjzGl8kOnKFtSQmewuCVgqb57dwYl25aNHXawLpYrph95JSCY768WPBSm+f0c3o+dZXo/n/jIx/G5zxLt9Yd/9Ic4cYTGXXdyCt40j7s0hGpzdkEcoWOg59gscJWiDc0Bo4RArzu8QaYlJVTap3hciwKAggdEJsNvDXWXaa/INu6olozh8cbtukC+QgtHuVrEzhqNa0v3MMeUnxVZWJwnrdGttkSScnCaCrMoD8L00pJIUwrwlepn6cVhCjd3F0HdQBaKVv3gBwqIfZpbwpJQnHqSCgU3z9Sk0H2tlFImbd8WNliOtosSGPx5VwqS0pBJNqeTfuaoUv3bEcAAL4E0iIbuo207sD025st7cJkGd5VErk3j897xecyVaX7P7ssjYtPLixdvQdZpjLU7AUb5YOc6EiFrq5woZg0ZUHY841ze7STIsdlnnI9RqdIaNj4xhTylgMLfaaFYpe+tTE6hwN87NZ2gkBvuEGnZ0lAnJVthqkw/TxQEvOxwKy00evR+rq7UsblOOpxbV97A1YuvAQCaO2sYYfrXzeWRz8ayYyGMmF4ReQQ23XsnTtDutPgeXOP2TvpS3mSRZow5olgjTbK5mEDFw1F2AKCT1MwDJRQy5l3pBKnKzPpiRLwO2U7OrHm2JU1AEgjWp/EdZuNfQRvaU2u9ax0067KUuxyeB1v2GZWmkEZLKHaP8zu0RKUDFiEKWeJXoeghYo2pilRfQ6cUBAcwQkpjYq2VNplZlrQAK0v/V3B5juY7bVibtNZqfwepR3/gt9uoXSb6sl1rwHNorozPzKDAe7waKUPxZNRSQNzhELlHae21vbbX9tpe22t77We+3V60bPWN45RtIwvzLEeamkPCksjch9JIQotMUa5MpCmEhDeADkkrgzwH6oSkKcI81+GKAtiZVwEEink6dWgh8NyzZPRWq9dw/iKps6M0wL79HwcAJHGKbrc79AOo5i0ETBUJR+LB01T64fLVdxDyqbLkTODnHn0CAHB4YT86mq7/g1ffRMwngyTpi2UlIsxPEFLwvkNTaDLEkxw+jHOMizfjEiZZjOjYCnVGvSKH7gMA4gTwsvpJUYqET2uVyaJBgYZpju1ie4dgwnqj1RdUJwOiUEui26P+hmFoTiTFfB4BG1ANioDz+SKyg8fOTgtTU0TVeY67K5Ogb0LY94dw3YHP/EQtmgwdSJJkaITHtizTFymEGV+IRd8kSsVYXVoCABw9eWpAgK/xve9QZpAf+phgajRUCrP7CPFImju48MbLAID1tesocsbh4qGjxvAyd+FNUxNIJcoI9m3HgWTU62bsY4LH8mShABUN/w5dCCTI5pMNi+EG5XeQdOndFst5BB026Ww1YLN4NUkTNLdozH7mfR/F5Ay9qwvn38G5V6hfBxb248MffZSuaY/gyg3KhLl08SoUmwo6jkSqstpofUNQP+hBM00GoaETGjuePQHXHp7usQZOoGSiz7RBqqEYDRMFG2BjvUQKwGYU2bYNBi+l1bf/ibVBeOjZ9amITOoehgE0H0M1FGI2EBVSIOuu0DrTkZJPSnas19glrr5Tk8KCy6dcWzhwBaEY+ciFxyDD2GgBLlOuoVBo8In67LVleIIQufHqGMIOUUGJlUJy2YYRz0Keqc9KroCUjdhStYM211xLnTJu3qAxk1y8Bb+XvccIp04RpzO//yDWOtTHnJXg+MkTQ/WvrDtwWSg75lmYLXImZxHGbycIIxRTyhLbufoSlt4+CwBYXV5Cd5soX5nEsHMZiumiUKAxuLB/Ad2A/7bVQpdRnXPvnIXWNO5m5o8gzrTmKYABCUXKW16qNRyWXxTdHBAPzwoIrU2ZGsrSyGhbhSiicZoqRTQVKBEFXEMKQqHL+4ojAYtR8iiMYYx3tdqFxgxmbGU/R1HUZ1AsCzl+VoNrK7Q2WWPQGnEwvHdbzw+geNwVXBcHpojqn903i6vXSN7RjnpIeN9ScmAeKAVkcQAG5n+s4TZpzAbtBkIem9HmJvxbSwCAVthGvU3vNPYDBGx4qKIQYFlG+/KbWJwkOvfg/KKhF6UQuJN1220DHmFbAHfIsm2AM1VgJWRjC4KItMwevECRP+OGljFNEkIg7zGUZVmGYxa2yfQEPAVRZhogjJGykVmpVEKPA4Y3z57D5g4NliNHjuOrX6M04LXNHZx+lNyAV1ZWjEZlmCZzAutcWHN+9DD2VYmu+MaNvzcbhr/TxT2PUM2bTz71IVy8SfDbD194DSEPTNuRkFlKXNyDy6mkh/bPQTAfezNKoMqkOh978F40z7MRWHvT1DFa1W30QNexhIZbpg1Y2QHsEtNDNlBhvdAw9sfvpgAAIABJREFULY1T3FohQ6Z210fJy5v/l8GhURghW9FnZ2fNfAt8f5eUxlBglm0GWhQGhiIqlRxDgVmWBSvTnah+4TulVN8ZeSCtM1HKxCdpqigbYog2SMEBg+Zy/YK36xsrhhKypDVg2qWxXafMkG6vAyumQPX06Yfwnkd/DgDw53/8f2BrnTQEkA7e4FpnadDDsQfew88phM4COsftb762jTBii4JWgKKk5ySLRahk+IAnDmMIJ1s8FDyeT652kPIG+uCDJ7DM7uDNZhtxQvMgSRKc5A1rfGzC8O5RkGCW0+QfOPUAxibo59Cq4OUvvcDflDeZLYMFCKkQJI2XcqkM4Q0UZYyz4EHDcu5CwzM4zoSG4jVGuBJ2gZ+ba/dTyG2rr48KNZIsG8RyYbGGCrZGlNFScQIry1rRMGaDdEjT5vecdAot0d/MbBgai5J0smxU0+uhmuN4cBmOl6mLNGT6dVvDr9NmGYymiCJaky5sbODiCgWf15c3MVei4GQs7yHPvEHRs2DlaezlHGUMYufHK5gojfEXR0hHKNh+8Uod3z9D4yTo7CArEK2RIObPNL0cLl9aor8Nujh537Gh+te8daZ/uC04iLfo58txjFqDaM+N9TUkPfp55dpFdHn9DVsdQ2M6tmP0PxIp8vw+J8dGcGyCbEpa3R56rPVsdnzcuknSh5HxeXhl0qYJDUBmTr8W/IzSSvpxsEhgakAO0ywh4Q64KKcpm9Laol9pIOoX2E6iEEnIAbuU6Haov4Vi/zAktDZ6Vtd2kJoMrL4O0Ro42P2kA3NWqDuO475EwLJR5HT+qZECcnr4fTFKYjPGx6sVTFYp07icy8HlFyMcYZIVI5VC8Xi0pEQ2/QTSvu1AEiBkt/jO5go6vKYmtTp8PtDUOi10OGhMoghpjq5ZdT2MM4U7Pj6O/SM0rov2gF2E0nDvkKK5R2nttb221/baXttre+1nvt1e4WNLg/AIxwEkowp2P3qFjGFCcaUg4+xPJcxHpNUXo+q+0lxIaYRjjmXDyjGi4kl0s3oppSJ89t14653zePx9HwYALK80cO06n8z9BJcuUXR/4/p1FHLDw5NNAXhFoi422gv41le/AwC4cv0SLO5X6Af49teortKVc+9gmgWdDxxZxJV1gmArpTLYtRyTI3kcPkyQ29F770EvYBqo48NjCqSaaLwesllbfgrIjfIzbKJ6P/3t9uYatrnSerGo0VP8fOIQk3eRidaLFGpbBIU7UpjyAK7jGPjT7/WQy0TFjo0ul0yIgq6hf4QAnMzHQsdwrMw80EOBTxIjlRFjHiilhsWnzThO4TPy1uv14GZhvx4Q2SllsrQc1zFVdu/UXM9DzPV4hBAmW0BKia0aice/8o1v4amff5I+Y0kDSUshDP2kIZEwxOT3OigxHP8v/9X/iqUb9N6+/ffPYoxLmnzs05/DzRX6fejYEFn1aiH6hosqRppkp7W+Kdhd4B7URGLmE0HqTHuGAR5/jNDNgwfHcOkC0QPFogfNUMjExCQefpiQqFJpBPv2UYbOeHUM166Rn0W+VMUGm9F9//UzaHXpb3NWDir5x0JfrWGoSKqJl3mISIOiUKeH9zdxcnY/U8WBeS+y7EFyxfYkik3iiefk8Mj9J6mPlREUK3Tqs3MFvPEm+SndunULjYTmqLCsfkKDEogY2VCWhsU29zmvAMmGk3ESIVZsYqp1n7lIFHRWTDCBqRk4TCsUirCY6rBUDp0tTtTYBsY58eLWeg29iOD+axtLuF4jiL+QClQKGV0FzE8T6jw1OYKsMkI3DFFgtHWiUMKIR+trbqaIG0xRnPnmGVxdJ5TBhg2bIa0Hju3Dpz/0OABgfqaKaYfm61tvX8S1pWtD9e/tV75jEIBizjFmqZ1ugK0G0Rlh4MNmr6a020Pg04m+F0ZQdpY4YZuM2U6nBZfRvvZ2DQfmKRvLdhwc5KzdxnYLN24QelBfvYp9R+7lz7hwnX4CgeKEjaCnEKpMPCwQJcOjH3kpUeV5kLOAbaamtdIosAC8J2MEjCElKsJkkenEwAcko5JKm7XVyRfMOjFWcNFheqiTSjiZGF8KBFlGK/r1uaB1vyalhimtE4nYIEtp0EH1LjJ741ShzALgw/tmEPB4bPsONNexSuwUOQbG/NCH4lWtlCsi52Ums330NEYCv5R9QwmeQ+8u9oBOk67f3FZw8sSC2EmMeZ7r81YOE+wTlvdyJhs8E00DgNIaqbh9AsFtdxTpWFBZ+qW0YXtl/jkgJyMA2rJg2VkqXmoKxCEREFmK6YBTI8BuqeDNiQe4BZi/9WzLUGCW8LC8Tpv+6kod3/gaBSTLtzbgcfroIw+fwspN2njSOEYxn6U83blFgcSpX6CU4xu1ElbqFwAAI488iRFB1E9bA4q/q27noMeI9hjJ5THTItO34MZN9LaI21x48AF85lcom+zQ4QNo7tCiKTRw/eYSAOArzz8PwVKjJz/7q3CP0sL99sYWQsZdk1oNuTrplOSr30LYowlt5xx0/OHpkCjViDLIVqUmZXNy35yZKH4Ym114+cYN2DxZp6amEPIkCy2FSp4N4CyC5wHAcawBbQRMKrqQ/eJ1aZoaODYKQ0Npq4H0SgAoFkr878KubK7bNc/z8OMX/wEApVB+5ld+i66tNP70C/8JAFBfv4kkpsVcCtkfg1oYeNodm0C1Sptmu3Yd2+tkP3DPqcdgccbIen0bo2OU4SKhUGCthcwX4fMC3e34prir7brosDaqvt3ARFY4d1LCvguAVYuWybhxpIuYF+vFfRWcOE4BcsHp4eT9FIyNlMdRrdLCsW923mR9TE1NocD0UBQGqIwQ9O8UKlAewda3VrZhOfT7ONQG2uYKrNTfAUsJIQRUFuQIyVwQ00N34QKohcCAT10/+EljxDzep8en8d7HSE/33kd/Dh95mg5AUxOjcLMATDq4xpvfiy//AF//xrMAgFdefQN+yDooy4Xg+wyVxvz8fgDAAw88hMNc78y2BF5+8Vv0tz96GY6VUZYOepkLtBUbO4phmuflYXFtIVsVUW9TELB+q4WEU/5XNjZRaxCNVWttw+bDwfED03j4MN3n/Yf2Y/8C6SrcnISdp7nSCXroce1B1QugeR3t2Xl8+VvfBwBcu7mKXFYcFg6mSrSuf/4zH8YnH7kHAJCzfByrEg16+tg8fnStNlT//NYWejxGanFk7EuiqG9YZ1sWwh4FGHbcr82UQPU1KomGzgxPoxDdHm+4nTYZ1gKY3r+AmQUK+u49dhic8ItLl9/FViNbK4tmSPl+jK5PfxsmCiJ7n65rnH6Bn7tjHy1LocoH8rRTx2KJ5krLjzDCWiOdRvDTjNqXuI91c61aCzfabAviuQizg4vsa/SKKkLMQct2opHjdValqdEjSSlNAK4hjNGflP0sMEE3Qt/bC7HTGf6YpUV/fRLdDtZZY3NgfhE2H55zUQg7M89t7kAxj6UsCcUHCMuxjElxkkYAZ/vlLA9FPuRXJuYxxXKD/d0OJAdaXb+HKo+TUT9FkesEOraFhB2ztdBMr4NovTts/XuU1l7ba3ttr+21vbbXfubbHUTLElnxC+04EA5FZ7ZbAbhKShL5iNn0yhIJhMMQdhr0Bav9BAdICWMoBSGMilsIQPDtOF4Orst+PkrinkN0qjl9/z340ldeAQA8+OAx7OyQ8E2kPhqbFNFPjFdN9fNhmrdVRHUfoSv2oRF8cuFpAMCfvHYe9/DJp6FTvLZBdbt2Vtq4dZNO/onfMtDdSH4aiU2nkPVLNdS+R34S/3p6BhNVimS7O9t4+D1ELRw8eg9eeJ1MturdGLGm0PSdOvDSl6l2lejtYIx9Xg7f/8uYsL4IAPC3ltFrDR+tN9sdZAh8qmCypXK5HHqMPli2A81isdmyjfE8G5ztm4HPXkzbrQ5GOMsoV/AA0a/rEyuKxKM4NPSAUBaSlKLvMAx3ZW9lBl2DNIklLeRYvJ3P529TCXt3s20brQZRV81mE1/8r38LALh4/QbOXSUoPi81VtdIuH34yPF+HSUJVEZoXDu5Ahym1PzAR8IUXL1WwxiXN1lqdOExSnP9/NvYt3gUAFAqVvDudaKHolQZu3kVhGg1iT7wW21EYzQWhJB3VQNBy21jzHn08H1QLFJcPFCF0nSiLxYLePjh0wAAKW2MjRJkvLFeNyVZms0m/sMf/xUAYH5uCnNzRM8KN49zV96le1YCGlkZkBSZWnewSriAwKCnjcqgZCH7hamgjaBzmKaENiuSnfOQZHRYKvDexwnV+Zd/8Ht4/+OUTVYp5CEZgRYqhOISG5ZbwMmj5Kd18vA/w9NPPgAA+Ld/+O/x5W8QQhxLB3P7FgEADz74GJ54gtC/Eyfuw8xsVoJE4rMf/QAA4Lnnvozv/AOhiEs3loxxJeIUyhpunAL0yi3QvCnn+plWV65tYOM6jZNGszWQGSnxMNfre/Le/Tg5Swjk/GwZ1fEc91fCKzPcHzlYDTnLJdVo8Xj++rdfx/deJrRYRTFOLdI8fvT+4zi0jxCKDz5yFDk2HhRpSOJ7AGGqUeNsqDu1OGmjywLUXjcwZR2U2l3/KUNpRNyvNq6kMKLlVKcmycFPFbohfabVDZHGbwIAHtARDh6i93zo4EGUS6cAAN2giTNv0tqaaGnKWyRxiogTaYI4QpTV20oTJH62Z/zPd+yjgo+Y16auv43pSXonjVodgU3XLNgS+9hLaSxXQLhNe8PqlVvo9egeZkcKcJj+a6YhJNMzsU7hc6VyS+ZgM3QVdiPkMx8bKQxilurU0PhKK6ikv65YAxlew66nACVbZJ6hN945ixrveaONCK0VkpIEEgi47ty29mGVaO1OGtsojhFaPDJeNfemkxRpl32EIiBjEW0nDyeh5z8myshxzUCMzaIV0biLogQuLw7KsiC5orprSWxv0rxfqtfRrlFM8Iv/RL9uL5JwLFOf5NKlK/iTP/63AIBTjzyBRx6jYp2LB+YwUiaKx5IJFJi+yVkQJiVYmzQ7IVJTt0RjINUzFaZeR75UQZk5DzdOYHP66y9/+imMjrJTcaSQJjTYDx/ZDylpoOVcG/ZdpMKOzE4hYNhsSljQTXpgQX0DBabtWkGEsEaQrl/bQW+ZXB5VcxNMi0OOzqKyQJufd/QQzjTonv/oy8/j1AGCXT96+l7cYupNWg6OLVAgV+928SIXaFxvbkIpWgTTa2dwa4kdj7tP4NSJp+gZvv53CMN/XE/on2rNdhddntDSduBxPZ4oihDywpN3JRZnaFOvBDUIn55DXghYBRq8M/MHjQVBIe8iiHiSWQ78kGBOrcK+n6pQJgPrJ12FdZYZkqZQMitA55p7k1KaBe9OTQiBFsPEuVwRL/3gewCARpjA48kTRBHOXSaDs4cffhSjBc5+UwnWNykQajU7yLMz7ZxrQTDMunbtAiQH5k8fPYBjJwn2L5XLcNnoL1cs4sq75wEA5fFRjE5RsJFAwuGguDhSNP3TWt8xhXKwBVEdCzN0zdrGFcxN0M/bjVvotqhfyZEjcLMitL6PnXF2+xYu8ky7fP/7z6PNaZ+djodOj34f6RSX2eYh8D1IPtwMUOS7NTzomxDSB7OgSJtMley/h23akiaQcPM5s1g/8ejP4/c+/zsAgPc98gC0TxT3yuo5VMdpbHYa62gu0f070sPY3HEAgHJLsDmQP3XoAH5QpPGw2YswwsF1UQEBz++wUYPPmo98ZQSn7yVa54F7juPx91Cg9e//9D/g7LlzAID1uI70LnByDW0yET27gPUV6svla7fQWGO9hVamOPCD9x7Ck/cvAgAOlQQWp4jyLVcdFEbYlXykCGTPTecQBnzwWtvCV77/OgDgB2dvYR+vT6JXw3/3y2S/8aFHj/brJRZtbLPm4/L1Nbz8BmVynVlaRlwdzui02Wqi06ZrhGFKpqfcBh2A+5oTbTQqUP0hZdl9o1JppfD4gRRcB5LnZdRtImEzUagUYxMUqJ469RB6XIdrs75q6oyliULEGb+NZhc+F6n0eyGCzvDmkVUtcGiaXLFnD85hdZXWj+2NmxCK1tC5/QuYqtJaMlIawQt88Fpv7yDlvW392hIWjxMFnegEmh2ky+UxBGmmO5JIea2UWkHyISlOUiSqLwVQTF3R82bNT5oaellKuSuT9U5NWhY06yK3bi3DKrPRX05mHraIgwABU4S9tAeEtLZtt32Ue+wVLiyUOfCzpYuQXcOjIDTFh6H664yOE6OP63Z6WOnRXjiSL8BWmfWIgpdliDoOWmWSGKRT07j66vXb92voJ7DX9tpe22t7ba/ttb32/9N2e0rLkrA8iuziOME3v00n5z/+wlcwNUFR1b3HDuJTnyDh4Od+6dM4cGCSr5yix1VMuz2/H+V5LjTTYXog4tQSxu/DLTmoZNk9gQ9bUJQ3PzWKTzLE3Gz6phJsGLaNSC1ybIyUhi+7kKCHl7/6FQDAM6dP4UaTItNq2EbEvhiXltdhc2Qt129Cquz+Q0wX6bt+51NP4txF8hX40dJ1rLPA6tIPX8PcGEGeh6q/iUnO/Hnt3OuYnyeEqt1o4RTfc72Ux4pHpwS/ugC9RiLqx6eKeOIJElevTrTR3Dk7dB/9IEIvyEp+CDLFAmXZZGK3yugEHnsv0SHBlTPo1hnhGZ/FekyfmZiYRLfd5b7HcNjqe6vjo1AkWDwnQ3R7jPaInvHbcWzHnPYG66to2+77T7iu+fxg9tadmlYatQZ9505zB5MMMbt+AMn02nojwSWuuPyj136MDz/zUQA05mz2wsjncsYjKkhTxG2mTLVGd5tOkhUXCLv0ezfvwuLTsWNLY7H1za9+DbNzhOrNzc6gNEr341VHdwm05V1APIHvG5M1T9sQmSASFmobNM8mqxOYmyWKynFsrK8Tmjg1OYN2h+55ZnYCTz39+9SXEQ83GRUJE43PffYj9F1iBn/9N0T9JMqC5nmmoQ3loAes6jX6dIUQA7byup/9NEyzbA3FlHg3CfChpz4BAPj1z30e+1hUHAUprnG1+s3rb6MwQqfod86+AS+kdUJqC52U7n90fBb7Fw8DoGrZ8/Pk4VL2fUxVCcXq7mxi6QIhhLUbl+B36V1/4mMfw/wHn6Hn6bp45ucJYa2t1tCs/wUAoB0GkO5dUAWCSo8AQK/TxeoyoQO9IECpRGttwdGYKNPcOnV4Ci5b7ZemRpHnsjbFsRE4FUYLxywIi/ri9QoojDI9/s4q/uE1olnnFibx+79L63TBinD6OD0Tz4qxtkXj6vLb1/HCj98BALz21hXcWKHflyYcnHzy0FD9a+70ELFB3OD0FUL/VIRHSNk32RugX2zHQblE77ZkS+SY8ihJBZszfvPSQs7JBOOSy0gAU5OzuP8U0ZgvvbKJXpMomChOEbMnVuC30TMIT4ooHB6J/NQzzyDPqJHbbZnabo899hhK7L/WbrUN2rq6tYXlLZqjC4cXAKb5wq6PqEeMyPRoFS6XpilKgYSTJKzYQjNi2UGa9rMD5QCSKvpUoBAwyImQgDWQBfCTJShu17o7a/BA93D00GFYM0xRzSwgniCWJd7ewSjTc72VG+hG7PvV6iEFrTc97UIXeF46QDOmvqQapjagqz04LLq3cjn47OnVC0LEnMATC4UO03zKFihxbb3QBuQ47T0TuTycs7ffF29PaWkLigfCieOH8G/+t38BAPjf/8+/xKXLBBl+f+tNvPJD4lT//E+/jE9+iqDST3zmA5idIYjx7Ntv4fgJgpiP3XfcpKoKJMgKH0JFUMzLpSKCbXMhTlsjzymMiUrR4yJjcV4j4YUjEcoU1QtzQKFsct/u2CZHPLz+3EsAgN84/QCKHHRtnj2DgycotfHh2Sl89Rukq2m9+ybsOVo0IzuHU/cSvfH7v/ZZvPraqwCAi3/2RdSbbDTVDXFjkwKh//y3z+J/+d1fBwDUlpcxyxvhxvoqDnC2wacXZ/D1Oi2CHQ9QRRpoB6t5PL5AAdJZ73Fss1J+mFYs5E22BCAI6gQZWZm6LnGK5QYN2EMHT6Ftk2Zpox0jP5pRlv36WV2/hcxRKk0TKMVpvcUqOj1aSMIggJfrpy4PGmhlOi5L9s0MpRSmSJ2OA2NZcKe2Wauh2aaFQ3o5SC4gZ1mJqe01PV6Bx3z5zSuXEX7gF8zfx5y15vsBUvZVKJaLfT1BGCFXZKrNsU1aZi5fMGn3Umjcc5Q2kW9+/3msrdHz8yBwneHscrWC0ccoC0QLYdKfh2kL8wdQyvj+jW2zcF+6cBNjo3SdqYlZFAqssdIurCzDUsXIc82p+fkZLHPGRThVgpfr17VbukWHhmbgI88O35H2wLIHaAw4qAppalcBQJLh3Oi/WwqF7gJGF4DgTI8PfeTj+I3f+D0AQEEUyH0WQLvTwdJlep433nkHr79DBwIrX8LiLC3ESRKhy2Onee4GHuCNZOTASXzgFyjQzbvAaIWfVX7E1DjzWy384Luk1WlubvXreynAY1PV9z76Xpy/QDV+tvwGPHf4jUSnOdzijKdXLt7EuTcoCB+vjOIU2x2MFyy4Kc1FmXQATsedXDyAAlNaxUrJ0FiBnUMrZouIuIg1dvL97rvXsNmkefGhD5zAEw+RFmjt5jK+9u0fAACuLK1haZk240tLW9hqcjAWSbR5Iz+xv4J7j+8fqn9hkOyiq7ImRD+NWut+8EPuuP3AOWsKmrL2AEjbNZqNsVLeaEI86cDmdd92XOOWbedzOHD0fgDAhetXcIO1e81WCwEbFQZ+bKh3OeCpO0x77eoVVAv0zstxiMUjRBUuOjkTXmxtbmK7Ts81aocosIntmOeh3qAALFEW1rgQ9f3lIk7yISmGhs0iQFcKlHnt8YpFbPM6t9FsIMw0PNDmsKWSZJfNRqYLugv2HACwvvwGkhy984Ozx9FmB/dgextddpoPXQsF1nRYtoN4i2KC3nodok4H43ygEHE9SFeEiFkzmlaKSEfo3ZUKI4jY/qaVxPBZ91n0CpBMNXb8CJr3m2KlDMH7RC/2EXLQZdd7GGfJyz/V9iitvbbX9tpe22t7ba/9zLfbIjxaC2SlYG1b4Jd+hSDmBx97FC+8QMZe/+Wvn8Mbr5OI99zSJVz5I/r5z/78r/DIIwQrrq6uYn6BqKKPffTjOPXAgwCAfMFGeYRO4+MTIwamcnIKqc8qddeBw0JPN4pQZCV4L/ANBRZFlqEuXCdB7i6MB6UVo8gfz5fykCwQu/DjH6HMZkuPnT6Nwg5ngHRaiBmexOQBlMcyNCnB6BidGA9VPdRXSTy1FYTGA+Vvn30W9+wjuuo3/tkvI4u7Dx1chOtlnjYuHtxH17z2/I8Bpky+8p1v4/4HiXJqOAUk4fB9HMnn4GSnKNs2J7BGo2Eolm7Px1muadM5sB+5PFdiLpXh5uh+treayLHHkZMvIGSErZCTsPl85icK41yioLYRQhjzffVTT3jAoBmfQI/hWx1hF8R9u9bt9dDjjKqx0gS2uOp0ZaSIXkDXGM0BOX7Gm5sb6G5TVhfKkxgdJyOzI8cfw77DVEso2L6Jd58jXyWoBGBfDEto5FjwnC+NGM+hbq+HA0y73HfPMSwvE6pXb7XhZCfxTg+XzxNl8Nj9J/qeVUM0ndIJFQCOLB7FOovf98/NYW4fjbvqaBX5XGYACJTZDNKSDhZmqY/1Rg3bbPFfW2/iEGe5RIFCHjTe7YINi4XzQipIPkVjgN6SctBvR2aVNKBgrD8gpW1g62Fat53ivY8TbfQ//Q//CqUCZzc2W5CcBXburTdx8QIJhjvbHcwfpAzLWifG139AAt1ez8fcAfImyjkCL71JKNCvP/Jx3DtD/a0vX0clx0LYch7bO9RfK+9idh89q83GFmp8Sp+YnjVU8KGjR/A7//yfAwC2wx3s8GeGaQV3DufP0Br5l//u72F16dkuTo5jZpzpKgdIu9RfVxRgsw/Lles3kYaECufLx1D06OcL79Tw8mV6JrPTcyizyV0v6Jqxcd99R7DKAukvP/d9/JiprsaOQo/L+HSiFKHKSgA5sDnjqNPuYXVlOB+eQcp29zwHflqleq31ruSE7PdhGKMlaC1Iwgij7PWmPc9sWt1uD7VNuq+5no/RClEbSgAFl57B/fc/ilu3yJRWpSksvqZn2yiwXCMMo133faf21pVrKApCv8qIKbsQwL2H70GJs1urlQI2y5wcksY4wokr+WIJcpZ+rq+tYnaK0HM3jdFr0PvZ2KqbquIJJMAU3oGFU5isUO9nxzxcu0V7UqPXgwgJ+TlQHsE2oy63Eo2UaSxbWriL/AG0ezcQMarz4lubSFjWIPMjyPG6UrI9bPHz37hxCzurhGp3t7dxaILnUNCB4ppZx0sFpIyaN/wWOluMYjkjcLLahnGIDtN8m1Ij5b3HKRSg+Tm4mEW0Rut9fnIMzR3OSlzfxuQdEJ47WtkaehX9dPJDh6dw8DAFP88883489yzx5V/7++exdI1ews3lNbzIGQIAcPUSwYrf/e5bGBuhB+Z5EoUSDYrj9x3Bb/3mZwEATz/1kHHolArGgM51XLhOYn72o7B/czxRbNu6K/hOIsKDJ4mi8sMuSkzBWGGAlLO3nvvSFzE3SrByq1JGrcVZVHYN16/SxrO8soGYJ+7MvnFM1CjA8xs7sLiWS1qSePsGbaL/4+QEPF7IVlZWUGYNT7lcxjO/QLTgD8+dRwK6nxU/wN98nWi1hQdOoOAOP3ql7NfMciy3Xw/LtgcKzSmTCru6sYHKCFFphbxCyJxzvpCHztxDdWriEQvSPP+dRh0HeXKPj82g3WGXW6GQDtAbmW7HshyjxdLQhl6K4nhoDY9tSWzzJOlupZifJCq124vQbdD3N7SFB47RJjgzO4FGl8bOaEXBYc64Xr+Fm7co40n7bRQ5i0clodH5OLYDj80XhZCIeQz6CbC8TO/2vY88ijMupcXWmjuo14l+3D8zjSuXabN7483i2QBXAAAgAElEQVQ38Z777x+qfwA5eXc5W/HalSu47x6iPyZGc7jnOFOsaQwnG4MTo2jXOV09N4JtzkJqdzZQYs2JlhI5NgJTfoACLwejU6N47GEy3/v2D9+F7dL7FFaub2om+87DQlmQTPOlOu3XujLlOYdrJ+57AAvHqF+zE1NIedwVJ0YQbhPddvbMyzh/joLG6kjVXP9Hr53F2gYHLVKixc7riwtTePg4PeeTp06jWqYF8d3aBprrdCgZy8+iys+kESQos03BVqOOtRrRDyMTk1mCIhzLxhzTyx976iN47ZVXhu6jlRZx9V02FbweYoLNXCv7i8gxZZlGPZTYSX1mYtwEjdvNbRR4fZrqRKixluwfXnwX20yrhdESnjxG7+6/feYpBHzNh08fw6svEI317sUNOAWit3SnA8UFkN0c4He5gHDgI+XItbbZxJk3LgzVv8EgZ5DGEmK3jYH5vNod8GR1+NRAXb3YjmEXaWzWuj2Mc6AS1eu4eIHua+zAQZQ5c9H1PETsFF9ybeznoMLTLXQ7bPQXxYiTrLafZ9zhh2me58HJaqmlKV5/m+b62q01HF6g53pofh9mWNLhenlMTtMaUBmfNnWvop26ydTcrNVw8QKbzNqOcVXXcYCZSZp/I2mCLdYhzi0s4F52WD9/4SLSDdpfH56exutM+TaaEeQUjaNUa6R3MRsD1UbKxWZr7Q50wuaHOzsYYd2UXa7gKpvt1uvrANOOGyLEGGvxYvhobtBnDgdT2JH0zJdTgYjp8UKrhqO8po7GCUZ4Lobzo0i5mLPl5kzRVa++hU6HnmE7SQwF1u42sVCZvm2/9iitvbbX9tpe22t7ba/9zLfhihWBYUjj9R4bf425+Un8wR98HgDw25//bXznay8DAL7+999FyKrtVrsFn0/gW/UGOuwDonWKCiMbjz/yKE4/RJSNVywAfJpVSu06JWTlKhxpIcoqlct+hkwSx5B3EcblXRelfQQlX796FWt8mpJpjPWVDb7nLRRdOj0cWJhAskZ0yEZjGZffpEjzC3/3LKZmKENNVcbwi7/5mwCAzfo21jYJ6ut1YpS4LMHSzZuosMB0dW0NGxv0XRNjY5Dcx7wnEfLpS9sC5868AQC4eeUsTj89fCZazssZpM5zXaSsQh2sviulNMJmlabmlNZsbSNwKbIW1iiiNteiiWJTnbpQKJvPKxVjdZVO47OzswYi7PkNJIzeSCkgFCN4tm1E7HGSDNiia2NOdqemtYJmailJNVK+r47fw8nDTNlA4MxFOtE/dHQeeabm0iTFyjKhAe1Wy2ROFXM5THFtJteykDBkLKCMKFpajqkgrrTAa2/Q+zl+33148gkyyvvW88+j6xGkG8cxHC6d8a3vfg/3cr21Ydr1S1fwwSfpmhvLG/A4iwOODZczQ5IoxgYjOSoKELIfykZcM6VgIHwUPDaVHBtDmbMMVS9FmdHWXqeO0w8Q0nL20gY2uN6TJbWB72HFJGIGAG0bo0Kkpjg1LCiIu6iW/uT73wvFvklp6MNjz45EaERsQOa3a6iU6dT37sXrWFohFLkTpUZEH8YJHBZK6tDHwkyGOI6ZOnLTC5NorpPRYmP5KipTXKbBJr8kAPCbXfghrWEKGglTr0IrM5bvWTyCohieXl6/voWLb9E4dCGyUoWwLWGoXSkteFyiIBU2HE7gGJ2YxdQcUQXwRozYWBcdnLqPxtLxkot5RjcePLKI1jz1a+nWEt56i9DF7VaKfIWes1WIkfI67YcBUqZqUqR9eilQaGwNV2tqEL2RUu4yG8z+nxDCKJSFloYCJc5loCwCQzxJrLDdyTxbFNIy/YGTamwsE8K+dPkqquzDYwuFjXVCFRwHOHKEEmZs7WOHs6sImOXvsi3EmTJ/iNbsdNBjUXnZE5jhdaLjB/jBS7T/veFYePgUSTdOHD+BsXHaG5JUQ2uar9b0OBL2FJqcncGBg/QOkyRBo0lo5VajbrzwGuubqK/S/O5GKd4zyxnFNtF+ABBvrEKv0jNp3ahheoQ+k3oOAjF8AkGS9NE2z3IQxVziIe+hlKFw7R2kPo01KwjgZLuwbaHJn59ZmEdrld5FTgOaxcZKCaSMdKlGgqLDfnAdH8UKjX33wDR0VqIi1giZQk/aPrq8Bq/Vd2DzOmQHPtTO7Q0yb5+WLgQyct5y+mnFllUwC5yAgxbDS9/95vNYXyMI+KlnHsZZTh89efJRLOznQndT02i1soBHYXSUFtz5hTnYNkOecWv35BhQ9Jv1FsLUtnGsFDkumBdGIURueMl93i2g4BDk6fdS2oBBxm0ZRQHHQq1DL/AXP/Q42j8iCHN94110GE77qy/8Z7hMgeSm5vDgfTTo3LKH8RLd/+W33sY7nDWx9saLSDkzpNVqmYHvWg7qWwRVj7gJjh+m5/atF95Ai59/Nw9Mf/rDQ/exVC4jxxuknS+g16UNOAgCAydrrc2kb7fbqFQoMHMcgZ5P76u5VIfiRbnb7RgTr7HRSeRydP2pqUnYXKBRaRejY6TnaV1vGOpKCI2U369KlQFaLcchK2gAUqbmOndqSRyjmNVxgcQma6wcS+Ktm/Tz/pkJlDl777Vz1/EUB1MuYGoV2bZjal0qLeGxq7QtBIydotDGQVxICZf5bL8bmppcl65cwn/zGxTwrm1uwL58mZ+3jzDLUkhSvPIabdYf+a079/HIgUW8+qMf0T1beZw8Sa6yH/vUhyDZlVwkAltrSwCAc2+8DB2wuWOscN99RHPsP3AYmvn4fGUEVdY9bN5cRY5Xg167gRFJlOav/uIn8Cd//lW6Z6GQ8PvRMoUWWcAjqLgaAChlikciDZCyDm6Y5khgh4vl9toSMVOgbrGIM6+Rc/mt1XXsYw1EuR6g0qHnWQSwzUaYhVIJRw/Q5jeet3H1EmnTLr77KvYfokw6P/bNunLz8iXMcdqzW6lijHVQ6xsBuj2uBZVoBDxflRUjZrqttrGONB1+s/z2372AjRvUR0sCpRF66D2/h6WbfFCYmkCo6fetIIWn6Pq5ahkWU2Arm21EnOX36BMncXSRNjb7yiWMhKRhSzsJblymez7z7nm0OWgoj0/i5iat01uNBgJO943j1GgslII54CaJQBoPfTY2bbCu02ATQphCkwoqS4aE0ALSrBHCSCi00gg5W3hbhxhl0WUp50Lws1lbvgHN89LzXIxN0Pjdf/geVKtZYeYYN/k9d5sbJsBUQkLeBd3TDXzYXHsrURKStW+zo1XMjVLGVup38eN3eNxdu4b5OQo8Dx5cxDSbkkLaxrahWC4jzzRmHIbwWIdVqpTQ5gC23fERs6P2hfUabrzwQwDAVD6PsQr191pvCz22Kzhy+iS8KQrGtrpt6Lso5CvTPLLCVEkKaM7MkogQsxxAwILHRTxraYAuryuJY5mDQtrrASwN6aCNqMKHRVsaE0WlEkg2vPTCEOE2Pdvtdy7A8dgFX/Xr+Kk4QZHNcCe1ggpoDXCCADvF2+vp9iitvbbX9tpe22t7ba/9zLc7hu0GooxjCCdDTjwIFtO2dgI8+0U6AT77pa9gfj9Bd08vvg8PPMRiymgL+xbIr2b/QhXSnuhfP80grp6hXYSU0CxuElJCDYjgPIaki/k8bD7hpJEykZttCYMkDNMW9x9E2SJTreeeew4TE3Ti3Wm2kC8W+B5yCLna+NjMPPJ5OrGXPQuZX1XQ6qDL5nfxyi1c/jGdSD//+V/Dv/iVXwIArLz+Kt4+R55Fq+8qI5qjjBd+HtCApD7+6//+t/Grn/kgAODqjX+D189Q6YIT9yzAKw6PYimVwmab9nK5jBLD5YM0VpIkBn4OwxBXGJVwXAu20zcPdFkwWKnkTIZSkkQIuHTF8o0ORkYpog9jG1nC3NraJqamq/w8lTEJG6yxM+gYYdsOho3HgyAyJ7RUJRhlJMeGRtun0+7GRoKDXCNpbnoaLo9lDZjK5o7nYYR9j0aKefhMvQqVQGVpSFohjrOMjn7JlJznoVSk771+6yZyjDI++p734Ar78NiFPLbqRId6jod3Lpwfqn8A0Gu1DcLq5B00WDj/vR++hKtLdJ12bQe/9otkTlmuVHDhOiGsp+49iYV5QkWSqItmg06kC5VxbKzTiajX7aHA0HnRA2xFp0pbuJibodPm6mYXLmePKCGguSaUEB5clwW30odi+k/qEM88/b6h+xh2utjYINF47G9giuuXrb19Ds/+1y8BAEoO4BTohJkbrWKR6wwFkcKsR2vPE0++D5PjdG+X33gZV94hkfP3vvMlPPIo+SC1G10E7M+zfHMFgU9UwcTMJFKbTTTTFD4ju7XNmlkPIAHF65aTlwiHB3jwxb94Hp16Ru06KFZpzFQnJ7HTpPWj2b6BmQ6hAGPVCmRKiO92vY5MzXr11hqOnCAx9uMnpiHrRJvn/QAW+wttuy7eeZ3osysXljEzS+txPb6JrTa99+2Ob1BNrSxTQkUIGM8lrTMKaLi2S4IwYDbYp73VALpCmY8A4NkOZHaKV6nJbh1sSarR4nIG1WIRBV5gojhEkzPtqqPjmF8gemjf3KIxSJ1fPIkmi2yjsIE0q7moFIDhs7SUAFLeY7pJCjA6EW5vYZzXnomRMsZYGJ6TFq6sLAEA3j5/BgcP0Hu4/77TmJkh5Md2HUSMtGn069cBqTEYtF2gGWZoSR5xmz3jGk2M5enn/dVRRExZR4mHnYCeSTvsIbmLrNCiU4BkM0s3pyA9mvft1ToOz9GzPbhwAHk2Z7148wZaGQVWHUWJx4u73cOY5owzR2CC10gZBAgDer+FKDU+PL6lkTBqpzZ3kEouoaRgyholQYhSkfo1DmlorEIUYr10+73/DmnpGtk2pAEopjyk40DwZudaGh/+0JMAgHIhhwuXie558sknUB2jhSOOetCc1qtVaOooYcCt1Rp0nRXCpJxDqF0mVRltkDguLA66Qi+GxZ+3LYlCPodhW9ANoSUN2GqliinO8Pn4xz6OK5eI817b3AJTv0i0i5T50tnxMq7XOI1aCti8yUkouKw/ODg7idlpGtSLBw6gmKfNSaUxuDYfhKCNGgCm/j/23izYsuS6DluZeYZ77vzmV/VqHnruRqObIAiQIAmSQYo2J4lSWBTlsP/4YSls+dcR/vGHIxym/ekIhv2jYIQjRFoWIZGiSJHE0CQAooEG0N3ooeZXr9787jycKTP9sffJe1+zut4t/6ni7Aig77t17jmZeXLYe6+9115dR5vx3jTVUBG5Y1c2VlFh9+daowpPL67UTZLYpdRGlRrW1mgz7fV7mHKdobDRhuZ0xumoj36HDoA8G6PNsOP5c+fQ5OwtL/AQBEXdK+WUgNFg7GK39h99iBEXR/Q9C2M4XiTXrj1CCpeNZYyBxxu6ksLFTJwlpCDT76qB70jktLR4kzNWUni4z278zY0Ajx5SRsSll34M16+TG9pojZznuE0TdLoEPQTCONhL6NxBf2mSOniwtbSCy7yRPdzbheI522g24PFasVYg574utyIcdvsL9Q8g5tbintVahO++Q7QQf/XtISYxbTqvXnsBW+cpZql3eB8rK+TOTrMU77xDyk+jHriimR/duo0pZ1a8cPUK7GjM4xBjMqCxQpBja53G9nD/CH5A98ygHIylc4mMD9DAT/DjnyO47Yuffx03nru8cB/jZIQek7JJG+MB1yb7+tf+GqMuzcfm+gp2mKzN+jX4VVorly5fxPoGKXWvXL+BR/epvxfWzqHyEi20yWCMoz36bToaIGOlcW9vB8Mh9/Gkg1Qy7cDaZQSW5/L9D7C+SfEzYTWCUIURoHD9xo2F+3iyG0MySaP0BYZTGvNKPcKFiwT/fvyjD3HCcyMIIuTssj/YH2GX4dpBmuHyi1Tn696t2wh69P0VL4AMGVqIKk4xazaX0WNFYeeggyEzrxsz22uF9CANhypYC/gMXXgSfnUxSGs+bkcK4TJmKZF2dpYUcJmyFm2+943L66gyNH3cGeKoW8QW5cjzIsNL4WTEa1SNcbVF4QjL1brLLD2/tgJTKCGDHrwGtWd59RyW12mO9Dv3ZxQYVjpC1cVEFMg7jKFaiwCQ5Kkr+nnc66DORtW55WVs3aQ5kox6uMXnyu3b27h0kdbHlcuXscmFosPAc/mNQgq3J1Z9H6t1Og8+3O2Da3ajUq2hx+MzPey7eNlhLqC4woG19qmylwOpobkgtIR1hu4on+Aqx0W+9vyLGH+VyHY3BxphTHvbqqdwgeljLoQNJOs0Ps22h2ZAa6vWTSE1x6mZDDlDY2lQQcbGc034KAp3GZvD43ektYFWNAeEBbycs7fSFN70yWEQJaRVSimllFJKKaU883JGaQkDw24wq7Wj7pZIHBFbWJM4VyOt81fXfw6/AoJgrAR0zp4ZBDCyeJSd1QOBgCzK3Vu4oCprc/dZmFkJXc/3HRFiojKXIRMEPqoM0xiZu8DaRaQ/HGPUJ7fv0toSXv/C5wEAr3/hC9hjqv0/+3f/Dvfv3AcAHB51kXJ0eaNRRZNprbvDxKmPQkoXiPfVv/4WWhx1/v7tB7jGkfirK0vY2eagaCngswb9s1/6MnaZU+FP/+qvcDgg6/39D+5AclC30gaWteBFpDeYBYH7vo9V5quoVGuYctmOZmuZKtYD2L79AQxXY/f9COcukOWxvLzk+HwyYzDlcRBz9PCVyEdUpXdqLVBU+QjD0F2TaypHAQBSydMkZPyutdYLc2Pkxjq3/CCdophey/UGHo3pH+J4BM2ZNYPeAG+9RQHAP1tbxirDPdPx8FSQZcI3nY6G8GSRHQgIDqYeT8ZQDLFqnTvyyKX2EkIOoJyIFCFXKu/1us7bE/gKB53Fy4OEYYjWElmwW1sXcPQu8Y9I6aPZJCv3t//JP8HyUuFVTVBjCMZYuErSV69sYX+XvChBJYLPVdFX1jcRLnF15ANAM9GmFX1srTMHyrqHvUP6PvIr0Dn1fXVpC5evEmS9uR7h5lWyWgNvgj/+A6o59eLPf+7MPmY6xnBIXrVkeIRv/sU3AADdTt+VXjFZjEGfvSLtECv8/daVm7i4SuMg4iEm7KEMpYeA39fKUgtIyfrV42MkXF9MSIt+j77vj6ZIGVK+3F6D4Gyc4/0OdE7PXV1fn733PDuVmXSWGBhIUcx9hdGIINfRdIhr1wgCuXrtCiRP4gubF1xV7O2dB3iPSRdbq0sIeZ29e+sO+g/Ic/X5i5dweULtbGYTbDG0970f7uJ7zIW2Mx0i4CytpTUf0wLaUUAjYNhOG0guTaKqHjavP5nQrRAlJQomNMqonfF8zXt4Cs++D4sbWwRdvn5jA60Gh0qMWzjs0B50eDLF9iOGZia5y5DrjGK0OID2EoAWE/21miHSMa2t/btjtNvklayvLuHcBnknBsdXEI+p39YmUE/j4dEWRhd9EUABA1oBwyRU0zhHxrxm49Eu9pigr92oon2O2lCDciVT7t67i+1teoeT6QRCzqD9kJGDWr3mnjXpjeE3GV6GB59rN5owgubMyEpgZkShnnL77yJysLMNnwPkw1jB9uk+/eMjNy8iz4N9SP1aVwFWuezF+aMjLL1AntfVzRUMJR0CDSXBCb+oZAYNzrrq+gKGvYLGCGSFV2dlGZZrbIl+7AK808BHdo73NhgccVJNLICT+pPRnSdDWjovyFQBJZwbV0M7rFVID9bSRqkqs2wNa6VLN5ZSOTzWIic2QQDk8JylGxZ+QgFKV+RWzF6a8qAUszN6nlO6arUQacpssH6GMZNnLSK37uzg0V0asP3OAe51aUN/9TOvYm2ZXtqNl6/j3j2Kw6g1Aiyv0/fHt3u4eo6ymaB7GMYzML8ogvneD97Dw0eEr3eOjvEbv0a1fP7Fv/jn2GESwuNOz8VYVKIA/8P/9D8DAD68/QDbe+SqDqWHgkQ3DH1YvbhSNxlP4TNj89HRPtY4S6C1tIwat7PWaGPEE9ZTHirMGFpr+FB+kQGXwXDtsyRNXYbXvMITBqEjihRCuKKxvu/DFLWptIaxBfGgOpUpNo/5Lyp+EIAJlWGMhWXNc6gt9u5Qyvl0MkLAC3Wt3cAKpx5/+O738WaLFuRxf4DxmDHycYwmX3+yv+dYixv1GhQTYFWTGIKhtMl4glWOx/jCj7/plHSjM0SsCN0fDrG2TAeHH4ZYW1lZvI9hgHUmMpPerOBilmhUOD7r7W99G2mXsgObjRpWOV39wvmrTsl95/vfwdvfITf0r/7Df4jaEs1fFUSoBgXbd4iQ8dZpOsDFTXqHgbyMHqe67zzaQZMzRi6eq+Kzn6W6c+NRF9/46r+m+yjhFP9F5P79j3HvNily6aCPlIulXt3aQI0nf3caO0W4Wqvh6tWL3IYlmAGtlf3DI0y5SOFRtw+PX0agmugdsSI36GHaKyBFjYwzDrNYQ1c4jsRm6HKMwmA0ppx1AH4tgpjy1ilDt24WEWuNU8iN9TCe5NzmLs5v0rOyTCPkPS/XGj5nf168fM3Vz/IjH31mFN/eO8T771CKvR2lEDdpTFrjAXLNbRYWgxHtQzdeXsPNN+iaSjPC/pC+F5HFCtfNy0cJ8mFR6NGgsVpdqH++UC4DS1s7Kxg8f5EwkGxIry9HuHGFnrnSDhDwYR0GEepMk7C8XMXKCo3BwckQjw5JoZvEBinDfTabwnIqdK97BMEG1W6/B8Pz5YWXXsAyr792tIIjj+Z1nBkIsXggVp7lrkdKKYL/AOjcIOfv5Sy8Dxks+pypNJ6MUee9pFmNsMQw3PrSCiTP0+M7d3Cwx/PUGMciX2/W0U1oHKJGCI+z1dJ8inGfDdQAqHA8jwqEqwWXZdlTFSvOE40o4HRv7UOnTNdRrWPEfYnjBGNeBslSiGWmLFnux2hydiPSGJLPg3yi0eO9U4QKfsI1ueoeNM8HkQvEPD5mow3NBXWhhggaNFbvPRhhuUXvMZmMMOIxDNptTKtPrqNZQlqllFJKKaWUUsozL0+GtIyBZFe+lUS3AQDWYOb5MRqnq+KyhitmupSFcVowhHHlCSTErPCOnV1jjXC08ibLHdmgtcYF4XmegFQFF1AONnIhpH0qQvt3v/0h9nbJkgwChW/96Vv0/Tffge88GxNMeqSZRsKiyfDZg/EEqwwnLNciDLiUPayFZF3SZDmOuVqvEgp3b5EF+6/+73+JlMkV+8MRrl0mS/v8soaacN0uEcDniPWlQGDM2nq9GqCmFs8qSJIUOXOFpJMBTk4Y0ogirDLhmoHA4QF9PxyNnMcmimqzauLxwAUYp2nsvDG+77vyGUoq+H4Bac1q5uTzpIJCwPOKYDTj7jlPRa+Ucp6is2R7Z8dxpBDxJN87jp0FCAvHMTKeJpwFBnx85y5Wz1Gw6MRKTDnlZmO1gpeep9pYXz+8h90jyq5aznLUmCxzPBkjGpKXoG4NVtr0Dq/fvAHD/a5GEa5cIKji9t27+PKXKMD/hx9+DJPtLtQ/AOj2uhi/T3BPWKm5PnrKQ8Zt/tZfv4W4Q5b7l37yNefJOzo+wb/5yp8AAN7/4D1c4FpRQRShylZTbgyyos3VOhoZ9VHLFDdfoWygb3/7Xbzw/BUAQPbZZUj29nWP95GM6frrV2/icJs8oFobNNuzjMyzZBSPsHdMc9/LMjTZC1eRAjFblXluiuQhVKMKLnDZgIrMcBLTO+oMDjFlOCEMFUImXLPZEJLn2mg4xvERc3YoD7LI2sty6IyuGQ5G2Dui92s8hRpvgAcnHUwYimq3lyFWnqaABpy3O81n5RbuPjhEJSTrNBACggPjj447EPyuq40a1pjctLnSwCTJ3X32T6g9b+t7qDMd/3LdRxTR+Hz25ZdgGjRwL3/5Oq6/tsn338dAcDXudQ8Bw2RprHG0R56rbqfvSh2cJRJwJQw04DJsYYWrq+cJi4gDq1+4sYr1ZXqmJzPnBbZCwPOpva0GXA3FzY3QeX4eHYyQcZ2mO7dvu0Dl85ubqDAaMewc48FdyvybDPt46SWqlZeOYwh39Oin4lLyA9/tj0SiyJAWtDsjhZQuBCQzGoWrU8O4dqYw6LLHY+f4xJVTytIUhkMcwjBEdY3WUJZnUJxJWYFCDkZWMCPdlNI6SqzcWFg+PzzPd+EIi8iN6y/jpEPraTJK4HHduekox58x1KzyEGKNPC3pfhWVgPaSxopAxtBSLGuwdTovH+oe3rtPSMmNrXO4cokCuaWeQFbp/g3hY8xj1QslqgxHL1/w8fGU1uKf/2gPNwZ0z+lRF8tcHufNV1/DiCHxT5MnEw/OZVFhDo6VsI4Fk66b+w0fxKeKxhlDWhLogHOfAcgC6tIaltPOkjjDhDNGhDYIWLGREDPG4EroXqC1Bp5XTDrh4KRF5Je+cBF//Q5hp0kCnHTpuce7By710Frh7v8n/+Ev0eHCk0JZDDkLKclz5y9TAo6FNpXCLQJtDL77Q8oO+tb333XXKAtsrNCB8eJzazjp0oKQEi41VJscIadgvnC+inNYvPZLFFXhMTzTH43R6dJG32gto9HiaHfPR5bNmJZlUf/LAAlvvnmWOfZNnWcoJoQxxiknaZrCZ2XC871TRfmKGBoL61It4yR2Co/vefC92ZRcdIF+6+23XSZDmkmkRUHUNHPZY9baYk+glHGeI9Pc4M5tKqT4yis38PP/4OcBAC++/CqqdYqH6Z/k+Mof/AFdn8ZoMpFZa3kNMW9Yge9jlWMFpPJcjS0lJNpMCvbGq6/gjdeJffUHH95Cmi++yVoESFjZD70AFcWTKtdYbdJB+dLFFi6eJyXn3e99iD/Z/ksakyQrahHiwrlV1KsF3jbFpSsEpY4GAxREBx4myCeEzScxkPXoMD3fWsWQD3pVzdGLaa18+Tf/Ee6+R/Ds5o1rWLtDc/zhgwfYuro4m3RqLWJ+L6ES8NgFL+IEPY5LGec5NGcbjbqHuMPFWM+vrqHHddv29rdR4TiAdi1CxHO/FRJcBACPpgPsd3s8uGxgaNIAACAASURBVL6LpbBKImUI5OSkj2VOXa+ttDDklOBe5wDDE1LMHsocV67QIfolLnz6JBFibj+AheUNrTsc490PiQqiVatC8Rz2lYQuyB5hscwK3oUrW7j5PGUXRo0WVs6Tcn773kPU7pGBdWVzCddWuZjl+hqev0b0G+v1dYgRjc/oYIjWZTo8VCSAkNdiNcSED8uRAfLxgvvNXM0mSq7mgxjCrb8oULh5mfpx/WIbtUoRHpE5qFtbuFhMKSzCYt+PPFxaoz5VwxA7+1xo8qSHovTeeDTGCit959eWsblByt1gEuP2NkHcOh9jypQVRidPpfB4Srk9y1rrjBslpHMQaMxgPAPhagcGQehoPozADJoGnLKXCiDmweqNRy5zVBuLVHFmbNSC5P1AQTpGYiFOF2wtxmSeImARuXHzNbzMUHylUsH29n0AwM7DbQdTnsQ5lrfImLuuJ3h98woA4AU08ZALFItKFVPuy9987T/ibw/JyMubVfzkeTI0Me0jVEV8KlzhcCkVAibgHI9T7HLMYz9N8YDh6CxJ0ONzq9nvotJ+MvRaQlqllFJKKaWUUsozL2d4eDDz8HziezsXaHo6+pstajlz8woLRzRFzqFZlpYL4s81DFtf6XSKpAhu0haGPTyelPCLQj2QM6+OEM7V53k+cr14EOFv/Mpz+NxnyWXYG0+wv0ua6cFRisMeV389jnF3h6yBH3x0H4otwLYvMWTtcpSbOY1eOu+NyQ1C1ujDqoAtoD5dcdkjxlr0RtT3b/3wwOUL1Cueo+6WwuIqZ0q8+dI6Irl40LKxcBBSnmXOG9JsthAySdXaxjmn/U6GfWRMQ29gHWeOnsu0MNY66ndjZrBUkiQO0hISzjqFIM8RwNYGPyzPcxe0rOYspyRJHCniWbK9+wghP9P3PWTMhQFrUGHCLCkllti1WqtGjngw0wYPOWvpsHMCycHaSxsv4nqL4L5f+OVfx1f+6CsAgOF0jB0un9JqLWGNM4OU78Pj8h1SSGi20AUkzp8jC/Pa5UvO0pMSCLynyAwRPjRbv5M4R52rZrdrNVT5nuPBMfY5A+hXf/238fVvUCba9773bVy6QG24fm3TBaRrCwi2DKOlZXgMLys7xaqh641McbzziJpgarh86QoAoHq+igcP7gMAGisXEFbIldw9PESDKfI9A3z3awQRv/6Pf+fMLvoyRMR1qZYihUt8n6r1MNpnq08LxwFm0iE+vEXlOdLuOqoZeYFeXmlhwH3Z39tHm9+LMSmOT8hzdXw8cH0fDSbIeD62N1ahBQfITrpo7pMLvpm1sPeQ9qRs1CcYAcDO0QkePiDL87/8rX9+Zh8FhCvJYVQO6c2C9PvMyROnCbyijI8pkjsIDjke0d728OgQ+0xi2ahXEXKJkPZ54Pu3yGM9ThNEHIiehgGO2XvdWFaoCIJfW/5VBLx/T8cj55mEL6DNjChQm8X2GyXhsj0BC1V4saVFwGdCuxLg+YsMf0Sey0gyEI6fR0A6viIrzCwAOJtVUV+qBahcpPXXnxiMplyJ+/AYI4aaJ6MOrm2RJ2F1dQmp4PqOSQcxZ6gq67uyBQv1USl3/kEI5/GAFG7ftzBgahyC0vl6mecAzztptctoy411ZZMyScgAANgggC0ymHKNmM+eLB9CClofwkpo7ou1cMS7SnquVAcAt7cuIpubl9yZEUURLjBpZfDTAY4Y4djd20WfiTmfu3gDXkT766ODEfqc4eynQJ9RgdH2I1R4fe/vn+Bb36bag8Zm2OBSGhUtMGGkZ/nKJcSsoXQPOhh1KPTkvGqhxxxafjWE5bE6nnTRqj45m/BsNqn5+JliQ5Szw06AJieJheVrrDanYmlcbSwrIUyBf1qHx1ttHDTmKTk7DIR1rm2JWTqzMXquSKiBKjBMpTCZLFboDgC24ymwTJtCe1lifZMmY0V7yDjSfDww+Nt3KJPhL949RD/mCVsBapwKeeF81WVO9QcZJkxG5Qtgk2ubrKxVYVURpwSnsJncQjDhV60hKcQfVJxSsf+7JgWqbXpuPxujZxZ3T2baoMYMwvag6xaWNUDEUe21ehuXrxOstnd4hOOHBKtl6QgJp5/LTzCn6oI6QEqAFT8lC6ZQEBznIDk9owuwQJGqkue5gyCVlA4Ci+MYk8li2XbaaGRFWqY2CHlc660mCo26HgZQvICtEcgZTspTjTxl+DEP8ef/nvDp939wG7/5W/8YAHDz+hUojqM4HEwhQIf7uY0+Ngqm1LDmlNk4nqIYZGMNljgzREDgwUPaCEyS4CLH9iwigV9ByvV7tDYodEFfea7ejBdVMeGT+9/88X/ACpNoLm9u4ubLlEX12qvPIfDpPafwMJhQ39ury9Cc2eQvrUFwVt+Kl8HzaaMZ9FKMDgi6CoJl5Cd00L/9J3+MrICZtu8AnK3Y1EDNXywOCwBuXHkej+4QrGNHJ+4gSQGsX6SxmsQp6px5lHgKfWYEncYDvMY1tpbaTZywoXDcT9HhDJapjdFnmoLljSv4zCtUrDiJE7x/l8jgskChz/WWhDZIMiZxO4mRMqwWT0cIuXacziVqtfbCfYSAK6gaNgWW1um3ge/hZI/Gc9KfImelQWjpmIgtrIul8a3AI465y/Zi1EK6z+c+8zn0B2ScvfvRA4T8Hi/lwu3TYuphspfweE6QM31I1sow5DpcqUphV3i9ag1PLbbfKDF3GlhAyoJNfpa5qqyCKCAhbZEVSoKFU36EPH12FJmXWa4xndI7b7dCLLU5ezLOsL1P8/TocIxI0feD0QT7J7zXYAqPk3kzPYblsIDcSse2vojESTIL6RCzOCytDdKCbkPMavQZa5zikWgBzdlJwmZO4Ql8350HuTVgDljk+axQbZpraL7eGgsjZkpoEeellHLhCEJIl/klpXwqhefWrXuz2FwBRJwav7yyjJzn42Aauziy6iTFvS7Ru0zv7sLjunCVxGBUZLRNB3hujdZxb9BDhxX2NE/RPUd7UtRoYDShuXn43tswnBl5fHsbY95jNpbWYPo095NpjldeIwLOX/yFn0fvDLqWEtIqpZRSSimllFKeeXmyhyfXTrM2cgZFKfWJKrjzmqYotN3cWeu+58/FPltXBoL4dgp3g0VBExBVAgSFRWEsHHpjratSLATRTQOAVIBShecBDrJZRA5tjBGTV2mTQ7HXopoLrIXs0ttUeP3nyC0aPR+hw2SDgS+w2iTN9Or5JtaYI+OgN8KI3XJbqy0scb2fNMmRcn+nVkNzfa5QKlzgjBQhNQ45e6szmSJkGGOr1XSR+MNBglH6FDw804nT+qVUc54T6/h59g8OoNj9XW8uYVInl/fJYd8FzQVBMOdazlyQM9HJc2C5nAV4e54Hjy3t8Xh8irengLeM1s6zRzV2ZpbWollanlLI+H7aWCw1OLunEiJmV4jWBgUammkNy/CpVBKpKQoFWRyyFZ9mGf63/+V3AQA//mOvw7B3pT8cYcJZUav7B/jMGz8GAFB+4NqepamDWGEBj70cB8cd/MVbBPFk1mKHs/cWEZPDlc/QORAXWR8mQzIiSynPA3j8PieHj7DB3DIiCNBapeyeensZjRoFNqdGIY2L9wD47JIOmxVMJFcqz5pYZmjBV0OM+/Ss4fY2PCZu09NDXH2RiAfv/OgDgOHQyALDpyDI/PX//O/jC2/8OLV/2IUqglatRsolB4wB6poD5IVFzgHJVSmwzPBlluXIuc0/+UtwtXmUmgXdB34DS0UGmTX4BX7voyzGlL1/wvccX0xoBVQRPCyE84BBAEvtcwv3USmFgMn11i+1ce1FggqazQZ275PV+sE7dzDu0LiZXM7qTuE04Z3gOdZutqC4rtnuwT42z5PX8d3DPXz3IwrS3e30cWmTvEC1qkWL95uu6DvYNww8pAWnmgJ8fm4gDILaYqUlfCnhuZpNs3IGUjA3G4AsExgO6DkrS8YlVAgpXBKLFGLmJTUC7DhB52TszqTA81ApIH/pY43JFHWsscpJIJFvMEjJa7V/t4d1rqLeboWupIYWM8LTRSRNkk/UCyv2Ne4o/1F4fNXcWZkb4icqri+yjoXRLrPZ5jl0UR7HGDdnM2OR8fgIT0D5RUZr4LxJwByagpnHTD5FIg8AjCZTB78LAYy5XFBnMnD3yrWGV3DkaYmYz7y7hwfYvUtlYXzfh2VenX6aObQDFQ8//evESbe6uYq7PZr79faS4637j//n/4XoHEGWqQ8cdek9ZnEdYy5iaVODfSaofPfj+1Dhk2tMPnEW50k6Y0UOQpddYKBPu4YcCaF0NU9ynbv4HMqAKA4yCzmnzMwCX+wszsdo9wKlhCMktBYQrIRIJZkAChDCRxRRR6vVqmO8XUTSfIoWx0NY4bmDJE419rg9fq5RwNLV8w0sMTRSE8pFyleDGelUqx5gK+I4Fs9gwIs1kTO4ZTWqoSKL+l8CjHRhPEnR5muaoQL44GnVfFR9OpDaSgHe4hM4y7LZ2AKYcK2V8XiIokid5/sIq7RhNNtt9A9ow8hyA1m4Zo11UFCSxDOF1vfd+/L9wGG/9BuGtObcqfMZA0LMamlNJhOXmSWlXFjhEULBMrRRiSqoM+FePJ04aDTNNGqskE6TsSt8CgCG+xRUq8j4c7/fw1KbFttbb33TQalKKRwz+/Xt7R30mXRubXUdY66rBQBTVhI7vb5TJL/69W/gHmeJJHEC6S12iADE4mqLmAqhYHijMUIg5/XXGWmXygvl40e379OYhBavHFGbr9+0OMfMz5Nxiv4+xed4NkF9mRWe9SZEheG/MILmfoU1BcvKRk0rB2M1W3Vs3aQsoZ2Dh+hzHS7pKXzpV3554T5ublzA5sbiMN8npZjhcv4PgdNppI8RC+D8p3xfzNpPvqlZFKIGnoKlVwRAc4nm5+bWKpY548j3DS5cpfnmKQ+79ynW6ODRMcDGTZ7lyOeyJK9eIQqC9loLHhtVOw/3EVSpdb/4T9/Ezh7Br8NBH70WXfP+9CMsB6T8vPr6a9i4ybDahsZU0OGR5im6HcpEE1MPVc40PEtCpZyxarV1Ko+1bhtHCoPBgIyMPIdTeKRQswzbuetNDhSk61Z7qBRngJCA5n3HKhQcdc26QcAKcrMdIU3o+v5kDOYVRS3y4Pm8hpC6uKpFxPNnaenzBpqUs31Oaw1bxCzOxUFS7A87DmQ+U06EcHuf0OZUnKunuGPe7LxUfgg/oLmjPN8ZkPMyT+Sq9Wn6mDNFwoWwSCFgnP1mYXjfN9ZiXFQXSGJkfAb0dYZ7HYqxufrKi2hybcj7P3wPWpDBlIXA3YQg3KNBjl1Wcvrvf4xj/m2z1oYe0D7akFXYNSa0lRHOXaEV61dCVJfJON/rJfC9J8d9lpBWKaWUUkoppZTyzMsTTUyjtcs8MZgZSibNTtWrcnU/lAflFZ4Nz7m+zFyEvwWcdS2EpcJK/L1zu4mZep9n2czNqSQKFdeaOe4dAVTZO9FqKrSag4UHwMQ5YnavyNzMLENPOTdnEIaubb4xyPmiHAB7y3F/nCJlt99SGCBgKKU/mSBkavhaEOAooba1/SEaHJkOz0ec0D27aQyPn1URHiRHr510h6gHZBX5SmGNyZYWESlnEKSUwlHz7+/v4nn+vL51HvCpPbnOsX+P7m8MXM0yA+M8RZ4349iZTmNX7V6ImZUzD1Gd4mWy9tSccJw/hd8ap0tOLCIBZ2kFno8RQ3baaFTYE+L7HlKGQyFmJGj1ag3WMsFkniHi+lOBEA4K8XzPZZvV63Ust8ki3t4/wOEJWdAb6+tufTzYO8S//bM/BwC8/+HH8Nlyu3p5C8MBeYQaUdXV5FpEPKUcHOp5AbzC+5XPYI7U5kh4vpjMQCmad5lN8e6PiGvozTdex/EheXV6R0foMheNnV7EtE/vXIktWM4e0lYhbJEFpQMAkgkexzlqLXruUfcEzT6Ng2zV0bf7rp13dynIedEiGvNW6KfZoy7oHqeTSGdZknNOHXv6Pu7+FnNextmy/zvPmrunyyi11v2DgMDToAWt1Qh1rq3nVzwMGI6cTPrIYiaey31UW7RHnvNayDn7aDJMMWEYMdUxdh9RGZFqK8L6RbKil869ACNoj/nJL19DzD3r9gaoMrSQ5Rn6B1wyI+6jwYjuSmvJ1XrrDidUOA5A1GgjOIOyv5CaJzBx89E6Hh5AOrJaowwyW0DggfPqeJ50Y2msKXI3EPgCAUNXQVBzSINSAoazgrXNkWvqyGg8Rp/50WrVDVT5txutCANOaDnuG7SbXEpF5YBZnNdMCIGMPbjWWlQYIQDsKeioqAdJZKizxIzCY66E5+ZvkdkKADrJIP2ZB7wI3pfIZ/NaKjd/jTFurzRGz8gbrXEZfkLKxyVcf6poo10mLaSAJwtI2cwytI1Bzhmxj457OOjRXB6MhwAjLjt7+5BM8BmnMXLed3UK/P4f/CEAoFavu6D7SlB15+XN515ByASMnlIwDCNXwgpaHLZQa1QduhMEPpr1J/PwPFHhSSZ9PDqgzatSrTtXVqtWc25FQDsFJody+Bu52YtDouZwSCHkrDbTNHbO4KhSQYcHRhjtJsvy8hLqzGwcVEIHkdrczHajXMOkdMj91V/+BYZDcsH/zD99Yt/p/sZixIfZYDKBz9h/rHNXe0RGIao88EpKyIAxZCFhePJaAFGVxqcZeOgzUVfsVdwLMUY7wrtceDgeUDs7aeqYmQFgyiu6EnqoM5HjNFE4YvZYCIUdrmn0mbO7CKUUKjyJ/MCHNgU+nGE4pM1xK/BgWVnVVqC9RPENlaiKMcc4ERMypzwqOIVnHq6y1rp08nlGZfpvsRBnSnCz2USN04+jKHK/DYJgYRes8nw3L4zOXQKFUhKZLgjcQgw4pbdSiZBy+q2uGAdjaTNzPcswRJ4WrN4KARex84RCg+dCFAbocNHJaZy4eJXf+5e/j3fefZ/HAFhmiG2lWUeRi3jY68Lki2dNBJ5Cwhi59TwoL3T3F6ywG5U5N7Qx2pGOBfBw5w4pOb/3e7+PN1+m7K3PvfoSpn2CTh7dGuPyCxSHMxlMsHKZoCVbaUDEtC5tTSDkjSYZGFTWqS+bnsUhkxOurF/Eud8gcsXB4RA//OY36VkL9nNeMf7U/Vk8/t/VY675O9d9yq6/0Fkg/s6Hp5bPvHEDu8cE+Z10jhAwXNVsRRgy2ep0aKEMk3dWpIvVEIFCbZnTjGSO6hLNgc5wH0ffvw8AaLSX8VNf/iwA4OrzWziaUpxY60ILYaEkCyAdE0R1dLeLBx1ShoPuRVSaXPcoy9z6bjSbiJjK4CzxlHSjI4SA58ZbuDUaeECTqwoLIWeKqpkVqzYmd5+llG4fCfwZmZ42M0jICoEgpHFqt6roj7lIrLVO0ao2FIYF9YlJkDJOI6R1WXGLyDwNyzwJodb5aYhLzK6Z0VHIuWsEfI7vU0o5JUoIBY+ZQrXRzhDMrXYQq0YKHc/FcxV3nAsXUEpBFjDZUxIPWgtHEGwtwCGM8H0fgiHLNE3hFYSNElAFvYgn0WZGcGusc4hUogBpNiNszGImiNUT5Awv5jWKxwKAMKwgYIbtS5cv4uZNItpcWVlB4SuoRiH8YHY2izPWZglplVJKKaWUUkopz7yIpwpkKqWUUkoppZRSSvlPUEoPTymllFJKKaWU8sxLqfCUUkoppZRSSinPvJQKTymllFJKKaWU8sxLqfCUUkoppZRSSinPvJQKTymllFJKKaWU8sxLqfCUUkoppZRSSinPvJQKTymllFJKKaWU8sxLqfCUUkoppZRSSinPvJQKTymllFJKKaWU8sxLqfCUUkoppZRSSinPvJQKTymllFJKKaWU8sxLqfCUUkoppZRSSinPvJQKTymllFJKKaWU8sxLqfCUUkoppZRSSinPvJQKTymllFJKKaWU8syL96R//NrXvmaNMe5vIYT7r5SkKyml4Hl0Gyml+7747yeluMfTiLUWAKC1RtGe4jsAMMa4v40x7hlf/OIXz3zY1cuvWCmFu2fx22o1QqXiAwA8X8Lz6PM01VhaWwEAVKSH73/7OwCASTzGP/vv/1vXhn/7r/8IABDVmmgst+metRBWZ3T9JIFlfXM6HqHTOaE2GAvPCwAAUnrwVEj3CQI0QH0/7vcgogoA4DvvvHVmH7//va/ZPM8BAMPhEIPBAACQZZl7T77vw/epj0IA2lA78zyDp+j9Bn4Aj6eMMQbaagCAkrM5IISAELO54XNflFSwmtqf5TmK9mit3dhWKhWEIfVX+Z571y999gtP7OOlX/yvrLR0v4pNcOXCRQBArVHD9t4OAKATA0bSvaUALL9zAwsUc1bJx87P+e9omtFcExawc/OxmIPWWlhTXGNhcxonaAPL7xBGu7nw8C//1Znv8Llfe9mqJo1xZDTq3P5AWrTqNBciD6gGij5XJCo8d0Seo+IVbZsiqND173+Y4TvvdOmaSOKVV+n6G1fqyNEEAKikj4aXUpOFxDSj+0xSi2lG/cpyQFsawyS1mCT0/SAzSFK6/m//8Edn9vGPf/c3ba4nAIA0M2jVqD0BMiCg9ly8/hlcuPIC/SCsQSqeszaD4flosimGY5rjx9sfY3S8R/eMxyi2jZXVDdRqNA65yWAFje2o18Wwf0hjJaYYdnsAgEb7EpRXBQBoa6AVvbs47qAaLAEAfvp3/p8z+/gr/8Vv2q3zWwCADz78AL0e3f/FF1+EUvTuup0OpkkCAGgtL0Fr6tfOzg5qNWqDLwWqvAeEYejmaBzHOD7pAAAe7R1ABXTNjRvX0TnaBQAMBwO0l6jN585tot/v01gdH8PwvG00Grh46QoA4ODwGFlG/f3On3/1iX38mS9+3s6vl6LttC/M9tl5KfYgY4y7fn4ff9xvit/N33P+msd9P9+GTzuH3vr222e+w//xK9+yP3upBQBQUuKt+zzeEwvQK8SSHeHNzToAoNloQoBuGymLDm8BX30wwjCjHwj+X9G2oifzZ9Lp/gGWf2Eh3P0BSxvT7Er+fwHwvvx//P3Xz+zj//67/6ut16n9UTWC79M+7gUVZPEIAJAlCap1Ott6vR6iKKK+ryy7/U8CyDPem2s1WEudf7S9jY3NDQBAmuXo8jqo12roD4cAgDhJ4Ula31FUxcUt2tdffPVFNx+3791HmtKcCQIfN25eAwBsbK4+to+lh6eUUkoppZRSSnnm5YkeHinlYzXreQ+PEMJZ4p/UyOevWUQed93885VSp6yB+d8Vf89r/Ys9U2L2CIFCB8xzi1zTfdIsRb3OXhflIQxJk60FFTz/wkt0TR7D5+8f3L+PZos032mqMeiRtZknHoLId+08OiTLIM9yaEOvohqFyNIYAKC1RZ6SdhzHGmmDrdkogkzyhft4cnKMnL0MSZIgYevRGOO8OgAgnWdGQIqZhg45ZyWw5DpHbqgNxjNOo1dCuvsA1nl7YG3hHmEtf/b+Tlku/CwpxNwVZ4iF86JsrC/jd37tSwCAlhfjmx9S//7wOw9wnJI1FSrrngMApvgopbOCBEBmFID52SQA2ML+Mnb2r9bMxscaCMGeH23mxk8Cdm6NGL1oD+FLiZTnRaY0cvZINKoRhKL2TNMYPns8QusjzagNoZCw3B6dG2QZvf9GzeCVF8hzUm+HWGnT95FJkCmas6Gfw+b8WyEBW7xbg1yztyfTzpNjhY9c0DgrJREGi6/FRm0Z2rAXRRtsrK8CAKQnsXb5Rbpm/QpksUYnIxwc3HNtaDTJIm03PDRCGofqhatI1jcBAEdH+5iwN8MPa8j4XWcAukf7AID+4S4AGofV1Q2EG2sAAOFXEfrkcRpNYgyGY7qPDBH69YX7mOYZag26PtMahRWdpimGbNl6nuc8h9Pp1K3Xer3uLNuNzTW3njqdjvOYrqysoFarAQAuXLiAcUzeuUG/jyjg9ltgzM8a1+oI2IPbrDXQbs8s9ocPtgEAQVhBg+95lnzSy1J4fue9N9Za581SSrm9e96r88k9/HEem096+eevfdw1896S+Wse97wnyXQSozugubMSSTQljfFumsMo+j4VBp0BzbVqrQZPUn+NUFgL6blXmx4+PKb3aee8OrACsx3UQlgx9xe31wLWfS9n+5kAFGZeo+IXFtZ5QBcR5UlYFN427cZHSunenVUeKuwtXltbQ5qyJ1jn7rlCSOdxon2fPocVH54SPJ4pRgPy8Gyd20CjTnNtMBrD8B7T7fbx7rs/AAA82HkAndBeeLyzjZz3vE6ng2vXyMPz3/x3/+yx/XqiwjM/iT4p8xDSvLLxOAVpEXkSBDb/rHn35Pw1xUt40r0ee3/MFCQhhXORQyhE1QYA4MbNa3j++ecAAJVqDSrga9Icgt11k3SKmDedSrWOK9euAwCOusc42qfNdJhYpL0C3hDQDA9IL0DAm5FUEsWGa4yeQYS+jzErFc1KFc1o1t+z5OTkaG5TsW6hfFI5LDyhnlLIeXF4YQjNbsgsydz3aZYiMzTBfes7eMsT0t1HSm+mTCq/0B8I1nnM/iKFcPCZlArQiy5Q65SWqNnEjfN0iK9mQzReOw8AuHUwxDdu0SFuIOFcvWoGw0JIp+RYiFPzyDVXCIhiPgozGzRrMPNDu/+jzcrOti+YQjGwgFz8HXoSkJJ+G0gDJWmj1LmF5jbXIx+ex+8qnSDT/FylYHksozBCNaIxvnbFx8UtNlZUiipo8xI6RV6huWynGfoJPSuFgfVonlYqEfoxfS+VB8mQWZIZHl8atOIgXkSa7Sb6Q2pne6mFdpugY9law8r6Feqv0W7Ms8ExHv7oPQDAw4M+ltYIprl8eQOXLm1w3y38KhkiF649D82GwnQ0xMEhHeid430c7TLcc7KLlU16bo4KgoCVGSVgeY9Z2dzCEitR+bSPTqe/cB97gwHe+ubfAACiKMLm+jr1t9lyysza2hrqTdp7Trpd3L17FwD4cOE9Qyp4amZQFuM8GAwgeQ2tCZixIgAAIABJREFUr6/juEttG4+GaLfoIMmbLQz4MNZpBl2snTBExJByHAQOplxbW8cej8/ZYt2aP7V+PrFHF5/nzwwpBPQTzhy+EXzu3985a+xs3rnFOGeTFO0o/uueOxeKsYgIId3ajUIP60s0R+6PBgSRAxBCYZoSPKt1Dp9vn0Ghws+92vCx06N3PjUzW8haCzkDuE4ZXjOVZ66L1iLNaC9O8hwTNpKlUPB8GitfAFE4M27Pkul0AsMGmdEGisdcGyDwqO9bFy8gqFDfa9UqTPE+hMVkQgZBMp1iNCAIjBQn8Jho915q9RqWWNEWEHwGAlGlgoAh2UolQqdLYR9pGmNwSDB1fHKIhww7T5MU/ZND7sHjFZ4S0iqllFJKKaWUUp55eaKH59MCvoq/AdKOC8vkkxr3p8FhnyZnuRU/2YZCpJQOThACeBonUxTVTmv97Oau1Ko4x8GF9XoDW+cvAACG4zH+5pvfBAAc7e5Dx+SNGcZjjBkqkFIiZAtAhUAl4kBcI7G/Q5aStEBQBCf7wnlOtJYOloiTMQRIc/dsAJXTfYzwMH0KqGA8HTtrQAgBxYFgUs2sK6M1tKBnWQUo/kGgFGIOTpXCwnCgbZ7FiLOY26mcxeYrBUZP4Hn+DObxZxDnDPICGTB8jfK8GQwqF++fkAZQNJYPDk7wjQ8eAAD+3otNtALq0xevruLOLrnxd5LZ/a2Y+2xnkJYUMzfxPJRnMQ/VGvLU4LT3EXZmic33gr6bBTM/lYdHACEHd1dDiRZDrL608Nj13KgqGH4nnudDsSUmLVAY174v4Sl6QfVqBemUxmeSjGA0BwnLKnJ20+dGwedA6Cw3KAzweBK7cbE2n3nmlI+M3W3JKH4qqGDn3vswIOs0VJchfPKiNNeuwU5pbYmkB9tY5ueaAi1EqPt4dIcswOO9Q/iSPZrVNvwaWaHVikIYUl9a9Sr8JbIqG5tXsHz+mPrb2YPPlvA0SdBskdfIyNkarbfqONwlKG379p2nmqtXr13Fw+2H1IZWy0HBnU4Hfkjv9OT4GCnvK/3RAPF0Ss+t19BokJdGKoEKBy3ffO45DPrkvdRZgoxfUg6BKkNRgaeQxeRx8DwPjSYF3Z4/fx7DAa2LbreL4yMah6haRaNB12xubuD+/XsL9vDxcBIw512R0vXbWgNV7AfCOk8xlC6coTBz8E0oPFR96lPoVzCYcgKGnQKWPHkKKaSK+Z6+8zwISCh+V8q3MOzaUkpBYPG1qAIPYHhTeT42m0Wbe+gMaf4qqVHn9qdZRh5rAMpmyLgvKxWFFZ/207cPYhTO0FhPofhoVkoCDP3UwwgVbn+SZdAMHY+TFAcn9N4m8QRjhqA9IZ23JBASS1GVe/D5M/uo0xS5LdqjHcQaxxmG7L3pT8e4sHUJAPBf/9ZvY2ePzrbtnYdYWyUv6VqjhXqt8HQZTEf8294IrWWCi5WwWGKPplDKncHS0+AuIqwELih6rVnHSpvm5m46RcJjcjycQpgnH/5PVHgAnFJ45jOw5pWEeQz2cZP9cYpS8fnxEeifHp3/OJektRbSfYaDHBaR3FjMoacQfBg06hVMR+T2feuDH2A8JLfZnfvb2N2hzB9pAcOQVmo0gkqRBSQh+LOvQnfoNaIqVlu0WSfZFFIVC86DMTS2XhCgUuXFFEaYTDlrJUng8WYwFRY5Kz+LSJI6kAG+5wEMexho5DktOGQZFCtRWmSoVWjzRTpBm/sStkIwpIo8ryLhGJH+OHHZJsPxCBmvlEoYuqyksFJBwO7y0AvdQjTazOJ25l3L85j2GWLlLNNqmGt85TsfAgA+c/VnsCZoQ7x5robn12ijfLSbwPABrYRBJung8DCnUEs5y96af5a1kHyNlgKSB8SzGXLBij8AwxuotYCU9N5ySNhiQ5cCT+Ng9ZRAwJpkYC3CwuBAjorHbTYpwoD7JSXqFT4c8xxNnlNB4EEbOkChLXxB77niN5AxJGC8itvsEqNRqdBGE/keBhOOI9IZ6nzgBtY6+Kw/SZHxmshMDsjF3egmi7G8SkqOH/pIeV/x/AiGjQlYC81Kt/R9VOvUtuWVJjoTmoNCGgzGU75nBbrHRkNF4dwWbcTVRoh6nTbcxsUlF09lDz5GxvEtt+68j1FMWWz1ZhvjDn0+fPQA4z651KVWaC2tLdzHi1vnYdmAiKcpGi3a6Lf3HkKxwiPyHH1WPKxnsclZoa3lNmIeh7AeIo7pXUwnCaoMLVhpMckLZdVDltMBE0iLjOdke2kVk5Tus3fcgR7TffLMIGU4JJMeLGg8936wi0wuHFH3qfEzxd8KcNCuwQzeUlI62FAb62K1jBEQfPJdWDmHyKN37lcqOL5HSq5RKaQi6ERnEfKYx1LkmOmjHoo1J2AhLZ+m+iniBQF88PAhtqpkAF+or4ERYmT9Hr77Ec0LpSzSdVIwbq42EQbUZqsNEm5PVXloCXoPH9/6AEPL5weMCyxU0iLjkIJQeqix8ZFriymP4VhrZJwB60uLgI91bTVSftYQFkNeu4uIlNJZa9poZHxOHJ8cYa9H6+B4PMTK5jnqS72Ouw/I0PzTv/pLLC+ToVCLqlhboVi8i1tbCPn9Ztrg8IBCPZLeMQ53yAh48fU30GS4WGszy/6VcPGmUglUG7RuKtUqXr1A72IifPSOj5/cr4VHoJRSSimllFJKKeU/UTkT0vq0v+cDiYuAuTzPnbb+aZHyn/TqzAeLPQ4++yS/wuNECOHcljrPXZDXIvLGG69hPCEvShLHzl2ndQYti2A6C6upj+PRyAWUhUGAvMjqsQYBcxXAzgXlCYWEraZApdhk7oHRZADJlrkSgQuWll4IsFbbaC05D0yWJBh0KKsr8H2020sL91Eb42A+T81BNMJCFUG3eQaviO7XFvGQx2Q6QYU9PJNAwhTwk/ThhWTBrLWbqIfU5t3dRxj2yTLMsgCGbac6LKTH7lU/gBJF0OK81w6ngqtzhkrPEiOAgktJqQruHJIFsrPXx/nLZFk161NcW6fP3zjQmBb8DogByV4RzCASIWdzUAIznFSIU/Or8PYo5c+yGrSFKaws5SNg69gaQcHNKN7BU3h4pIEvi0w4Ac1zSinrssCMtshtEbAIcNIgPE/CL9aWMfDZoyUFoAXPTShn0UllUWHPj/FyxJwlhGwKwfOlVgkwYU9OnCQYx8zJoz1Y9p55FY1kutg7BIBqrQEVkFfqoHMMWyVv6HoSA35hIcfQ7NlQfoj1c2QNtpcaOHeF55GvcMyBjFJNYQ1bxdMASlDftfWhfApuF9F5iISCHU0+ROAXwbpr2N37GABw0o1xcngEADjc2YH0qb/nN69gOl3cctbTBKurZPHe236Ei1evAAAm2dTBEuvNJTTZGzqKRzhmi7rTOYbPWTFpkuOE53k2zXHjKmdXjVJ02DNdqbfRYk9tpCSG4CxPpaDZO5DrHPWC28dUkI/JS9LpdXHAXEZSCawzB8rTyHzW1SezqIQqvJL2FEJQwPl1v4mKT301ucXmOnkS1pdWsH2fgs1HydDBjDARYGjM6o0cFy/QPPJlhiymPT3LcoScHOL5CuwI48DexYPr3751D8+v0pi9cXEFHq+/m+0W/n1OAeZpKrDbYc61JMEyZpnMRWB2nOW4uEL7+NWVCN/qkFeyaSoo4gKkEIgYyjYWGCapa8e04DITEor3kkgo1HlvTY3BSHMws9WY/fJskVK4ZJVBfwjFbZhkKSxD5a2VFedp0bAO4VhaX0OtSWvr+PgYu8wx9+BgF5fXaL1+fOsWbly7AgDoHR7h//2jPwYAvPJgF7/wn/0y3b/ddh5rAYGI76/mUCVrNCqclFBrLqMaPhn5eKLCk80dOPNww/xEllK6dMMsy06REBYynw44H5X/yXRyPZeVMx/RPy+PS0WcX0xJlj6VwvPiSzeRcYT7Rx99BOnTb3vdPsRc2vD8MzKeaCbXDj6zSrr0UZrU9NsQgB/QppPnOTQDNVG1CmNmi8xazoRJNUxa9F04EsKoUke4yi5PaZBl04X7aK1xJFVKyVkMjwAEbxi+MAgZZorHAxwf0AGQJQkUb07CA4asCOUaqHN8Q6O9ioCVGd/mqPCs6o+GyFFkmXluwsLO4maUkqci97PCHa9zxBxzcJacIhSTEnFKY7lz0sfnrq5xuzJcWWEFrTLCLuP3PiwiMJGWDObmqZmbR3KWXo8ivRLwTAbN/U4QQGiGh0yGmL/XfhN2Qu/Z11Pk7pbiVIr6WUIZDgyfeZ6LmfF9C6+YLtbMMuSooQCARr0OxfNxmsUwhYu8HjryunScYnWVcHHheehymqgMLAaG3kOcJ9B8T88PYThLy+jMKaepzmBkEV8koZ8i+yVorWLE727YH0L6dKDvtfawtkUHXuRXAL5GBQr1FcpyytIpPD6s680lTNl9rzyBCsex6Nxi2iGlohFtQnDGGaQHjDi7Y3wCETHU1VpBvk39nWQjB7Gtbm1h7+ARAOBk2EONIb9F5N6t25gUxpkf4NEhufW73S4CPqiSOMatR3T/sOI7+ofcGkw4tsekQKNKSk4mUnSP6VBpr62hO6YD3sYjFIk5vc4QqkLXEzEm9aXdbiNgqGAyGiOytEZW1lZxsEeKhdE5pef8/5B5ypLTWY9FNuTpONEwpPm4FC4h4Li8ZtTEm5/5LABge/suLCvatVoNdY+gvLHuQcf0+caPxfi5v0fv5NH9Pn7qp2hedzsTpJym32q30e/SHqq8HGG0uMIzthZdhkxzayF4L7l+bhkrVRrL+/0Yx/Qa0B1PsWULglLh9r5MAy2GZL/00mW89xalXcfpLJXbkwIhCpjPINVFPKVwmV+01vn+aYKEx3YsLDoMXebWIhCLr0UhJSYx9fHDjz9GymNerdaQF06NqIIBhzLE0ylaLd4/co1KobhWIliOvYmnY3z9G18HALz39ju4cIFiZI9HCXo53fPtD+7g9Z+gey4vtTAektLteT4UG6ZWa5fhrPPMnbWelKjWn0yfUEJapZRSSimllFLKMy9P9PDkeX6Kq2AerhLOla8cdTQA5+HRWjtSouI3hThqljmNfx4amyem+iQXUNEez/NOeYGs85Dav/ObJ8nBwZ4rtVCrVfGFnyTSuvfffR/vfJfKRlQqFeelUUq5dks4xRpSSvdcrWdETWmcIGM3ZOwpxKxxt5p1TBk+a7YaqNfJskqSDBPOSAmDyEFacZxAFVwOeQbffxrvgHWQjxAzb4WwBumUgxo9iTym8T/c38PuLvMcTGNHKAUpMGWrXqgK2hPqb3NqkUzJuvaEccGX01RDcLBemqRIeBzyMIdi4jwIuMDmPE9dUG+m5wKqzxCiYi8yMSy5ogDcOuygG3OQqhG43Kbv3zgf4ughE7v5S6gyrJN7lSJJC0rM4CorPBTpAvMeRmlylyGQwGCVsyPeuLSOW5yx8GCQ4WKdszIaK3h7m0uIPCVnlcWMt0IquGyWNNezMhYmRVjlNWctsrSYOzGkLQKnUyhZeBJSpBx03aw2cH6NOIta9Qa2OYjw7mgbXuGtyiwqRaaH9BByIPTEZFDFq8oz1x5jPMinyJiUlQiGgzhXz59HVCf49+D4EJUGB7xXAwhbWHoWiMiqTGwdSZEpmOVYWSE4zBMKYZXmY5bHEOCGJmNYhv9EfOg8PEIqyBqXgmkEUJwR5OUZ1jZofOr1JsIKjcOjh3fhsJEFpFqr4ejgAAAQNBQesien0+lgi4M1YS2EVwQYt+GzZ7Q76GPCcF7oB2hyxlbr3AYS3kvGyRBNdjhFCtApWelxPMGAPRqjeIKwSu0PqhVsXqB+Cd9DwB6kqBJBa/Ke7e/uuGzUReTs8izW8dVgLmRBSgmfoZM4jaECmnc//mNvYmOFvG5WxrhwkTwDw0EGdYfG5oOd72AiKNhciRAfvcfcL9kAzz1HEGK3YzEaFDxVY0RBcX4YNNqLT1QBoMdZcWlqoZjrpr0c4NoKQTy3O32MeB866A7xwkV6rpLSJTRASArsB/DaxXW8tkRz9m/2Ru5ZmTYunEJYAyOKM9iioGIzJsWkgLokoNmPkVgDzfdXVsJ/imxCAK5fGxfOzzh2UgvDh+3G5Yu4eukyACAeT/DCjZsAgEa1hnhCc+2k38WESQJ3dnZw7wfvz+7PyEGaTVzCqkWKMUOpRmukvIcFvoZmL6PyFQpqxixNHaluReBMdOdMSGt+U57VWhKnsNkightiVjslSZJTCpL8hHIDAML3Hwtdaa1P1VSZd3kWMNvBwQEOeON4tLsLjQLzlO7l/MTnz06/63R6TgH4qZ/6IpZ4YW1ubKLK+Pe7P/ieU8ZO1Xuxs0NRCuEUvFqt5tx7tWrVwQB+GGBlne7frNdw/+5tAECvf+LShs9vrcy95Cr29yhuZzxKYXiD1kYjVEWK4dOJ0caxV1rkyHkyDscx9ie00A4Pj9A5IbdifzhCt08biRUCmuMhPL+GQc71VboxwNkjOh5hiSP0o2bDpWZaM1Ng8jyHx5lLAjP4k9ibi/R87VyVC8kcCZfgjeajgxMcTm4AAK7JCM2A+voTl+p4v08HxMdxDarQvSTlV1G7NDyeF1Z6LkUWp+LLpFO0/XyIyxFtOr/00mXcXOH6RwPgNSbBOx5O8N0dziqxYo7i+WypVAJIThU3RkOyAg5YNy8aUQSP2xZIhUo4I7MsNiBIjUJzzsz/x96bxUiWXFlix+ztvnuEx54RkWvlVnuximyymmQ3xaZaTY7UPeiehn4G0gCCIEEQ9CdoIKAB/QjCSF8S9CH1QKOZkaaFQbemF3GI6WkWtyqyiqyqrKqszKyMzIxcYnX38P3tZqYPu888kk1mev4ScX/KkfXC/S32zK7dc885AtFI35Nxb4ImMX3W6i2s1PUicefOHYwy6oGAgqJenUncR0TvYiyE2ejUqj7G1LcjhAJ7hiLyrevvY0DnqbiFl17U5+B7NkSuz1MKDhHqCdGygMTTx/yP/9u/Qq2kf+t3vnQJriyo3FWkgj6XPLiUjOdJBouoaDztQ1GvgyovQFZ14sGkxNychtIOH3bBaOERWQ6fxEdr5TLkjL1mADBOImys636YSrWBLrE/rcVFvP7KqwCAerOJH/74RwCAuVoFY4IWJmGImDYfZceHxfSzGI/aAHnflXxgvvAIi8co1fX537y/i48/uA0AcMoBXn79dQCaPfmAkvPlpSW0d0gk9eAAbomEFufmYeWzPUf1cxvO4+vEY16MxWelzKbRtX1YSt9XJRW++c1vAgBee+FV7DzUzNjPv/kl9EnoUSYMnCbOR3uHGLM7AIAwDfHiKzqJm6uXcOumvmdRCEBR8ptl5jw9z0PyDAKZSuQY0TjNRAaf+ky4zfHihh473996gJA8nrYPB/gizY9+tWaUk7nFjNp32QK+clFTvN/bu4ahLN7jqROAyxzDbnMsBSunc4hGcAmeXSiXEJNQaD+KTV+mBwVfzV4IyHJhNn9ztSoWCDpeaS6a3s1zVy6hQnCxVAKC5neXMbTWNHPq4gsXkdFG+tH9+/js448AADc/vQ7LyFowgDZkZa9iCgpCSCNhwhXDcES9abU6XJrwsywzyT4f9ZHlT14zTiCtkziJkziJkziJk/iVj6dCWscbiY9n6GaXi2MZ/bHsnlnclC0tzk15zHFcOPTZth0trERRQCdJHJtyvFLSOLX2B338zVvfBQDsHxzgkCo8n376iRFTW15dNxko8A+fegN+8uP30FrQu8Tf+OpvokNMjFI5wLe+9S0AwLmzm9gle4hOf4g6daavLC2jTCX+xvwc5uc1fBLHMZaW9K7e9zzjBOuWAlx54SoAnWmOB7opc/v+XXx2+wYAYDIZYGVFn49jBxj0SQI+n4oiypwjiWYvMSulDDNAQBrYKM8T0/AajULcu7cNAOiPQgyGxFZTzLiM51JAEntnPElxZ1fL+kdRjBI5y5/fWEMidGPoWhAYvxTHskwVRogckmAABQZmMvrpLktI+XSZeQrGpt8BxozI18P+GLf3dDXg9GYNmdKfVwKJ15f1GGzf6aNCu8SmA5TpOmqBjRrtlBmzzc4hjqdietyysdMmN+2aja9d1ju09arEckk/Q7gl+HSPv/PRgan2gTHgGUrM+j0oxMimXmB5LgxLJM9yVMsaz6j6ZaP/lOfC2KEoZcGipmLX8WBV9edknODwUD+3i6unwfKiadKBVEUFjmM8KZogc8RFNY5ZhmUo0wyCKh5RqmBbU1j7aXFm/RxufaahtCgTKBFjq1x24QWF4J6NKNEVRwbgk5v6fe0/+hR5Xf/WjRs5KnS99UYZFXpfF9gS6oVgXKkMRk2xKmqbnlzpz0HQGN+69hOEh7rqGUcSg56Gnyq1EClVnFrLa0YkbpaYm583jKM79x7ACfRvNVdWMSQBwDjNkZJWz8O9XfhUaWYixhw5yNsqxKCrz821FLyCNAALtlNoX1kGFqrVS3BJdDHPMlOhKvkeujS3VfwAAVWpszBCq6nnM3e+hQGN86eFZVmPVeR/GWxrjgHgEInCd3xYpI3zG7/5FfzW138LANDea6NO7u4lv4ohQVcb5zYwGuvPFx7dRv+GHjsP7mT4s3/RofsBpPGUMFOwsSyLGyidsSkk+eavz3CNucCYmuKTPEaVUWd4buHymq6EbFQD3O3rCszdww66XX2Pbc827DOHMWOHkSU5LpIlzvPzFfzkkT5/6bjIDIog4FIzc9Vi8KlJ391/gNZ5va7M+w4eZvqeOHlk4F/ftuHMrq2IJEtNG4QbC8wNSBCUxTj3mv6tSrmGnCqjgnOt8QZgd28HW3e2AQBf/vIXkBf6P1KY/CBNYghqhXFtD3MNDedVKhVDyMjydCoaaQHMKVoMFPJkqstlzjkODSP6l8VTIa0i4bFt+zGaucFk82nHvW3ZU+8O7sGj8rHjukZ07rgBqGVZxxIeBoeOKQUlTMb6YYaTiemxub21hR+/+y4AYDKZGOXFUrkE19I33nM5prSVp0eWTnDU0X/77f/vL/DGG5+nf/fhE8Xh/OVLOP2c9tJ6+bXXTfm+NT8Pj87ZtV2zQD988NBcl+f5WFnT5VXbcVAuuMIMhiI511rE1edfpr/dxt0tTYUdDHqoVijZyCNATgdC/gx9A0ops9BmIgenUjjyBEUrUJKlGA41G+ewN9ES0QBcx0a9pH83yhKMJgRLIUNO7LbxaASAFqdqBTbhxrZUqLk6IbQkzODMVW7ECaWEEfjTiqfFOfPZhQePK4IrZUqxoQBu3NcTx5c3FgFfL3z2eITX9LwEITiWyGPozEIVPlEfPJYbBWOZZwbSYnBNsiFFhv6ChoFqc6vYWKfeDyuGSqkvKZ3ApX6JanMOnOnSvHxGlpaCMrCqw7lhCjIGuARv2TI3/XSxDM37gWPGgUzZSKjUbkHAKfyYbGBC/SHj0QSVsr5XtVoD+Vgn5mEkAFaIf1mQ9AwFuO6nAZDGuVGtZQ7wDKAkLEvi6lXdE5CkFhqUcA6Hh4DQyaRVbcKv6mQyHB2he6DflW99aQFzTQ0jx5MhdnbbdEwDjUX9t1GSY5WggtWlDXA6OxGPIWmeY8zFzh39naL3EC+89jwAYP8ucOP6h3SNY4xosZFpbu7JLNGs1vBgWwu03b53F2ub0x6IHm0UatUmSoFe/JyGBy70c3GFD5feXdd1UaIksOw4KGR6w1EfCTGREgDDAxJODDg2T2u45e7dfXz0/vsAgC999UtYJNVlT3HTL5T5EYYEa1sMGE+mfSVPCsuyHtsk/7yfFlCwxEwnJ3xiZrm2jSXafP7WN74Bm1ookiRBhdSy2w938OiBvn8/ffd93NrSNPArl8/hsK1ZZVv7D3Gd5jKmGBx+nDlsZhjjTQf2i10Bfll4TCImGGU0mmChQvIGTGKJjGFfXJnD/e4tfYxw8PFn+pw/vvcQTkkf0/L86WaFMZRJ2mOj4mCLWLujTIAVayTPwCjRzmMGi5LcoNPGeFH3XGb5PGy6/6VcmHnWziXc0uzj1GIWbJqfmgsraLT0Br4+34I9p+eGME9wf0u3ZVy6dMmseXPL8/DIE288iTHokXq3Hxil9jAKEVGvTmAxnNvUMG+1XkPJKyQouPYrBJApBZvWEkiOccEWzrlps2CSg6kng1YnkNZJnMRJnMRJnMRJ/MrHEys8aZqaEtRxeItzbhqYbdtGra4z3FKpZKofNrce68wXv0Azx3EcSDl1zZ1CBRZqJFwEAD/8kW7g++733sJgoCGe8XhspNVHozGU1J/LtQUjwT9LLCzUzO737t1bWKKm4gsXn0OX3FkTkWJuTpd3V9dWTaN1nudmk84tyzTQnb9w3uwYhBCPVcamO4kp9JLnCj7ZAFy9+hLObp7R53NvC++992P6fB9xSDBfmiFJZ9fh0beVmfPJCp8spYymTC4koqLR3wlQrZHGR5rApzK6Si3kJF+VCIk6eRFFaYY52pnV602AGvqSUYqAhN5q1RoyXjQkZ4gLMXcBcFHs/GzTpKb/M2Oj5DEtQMUYMmJdObBxa0eXd+8PE5wrUxXCtbBAv//bF2sIqLzv8hRFXUlJYewGJBfmPgkhTNkiTxKskWib745RtvTOTQqJ+/f0zrO1sIA9cvBdLjWwGOhj9uJQV3lmjERksGkX3yhVIIgRxl3HeO0ozjAk3yXpSlhUoeRSwaVr5NwzptJhnBZ/qvWx6Lc6R11U6P3LOMcwItsFxZGR1Ylb8VAt6Z1eFOVIaScZ2DU49AwFzzGKZh+n97e3jI+Vxco4taLfg9HRPrKxbt63mguwCLLu3L8Dket/jyddhGO9k1xf28DqsoZA+uPMQLjD4RBC6Abd5qkLplrCJZATe3J0cICcXoSLF88gqOnq2eLpDdx+dA8AMBh1kdJ9iMaTKetmhui0O4hJqHDz9BksLeh3SMQRFOi3ltbgkP2LrTq4e1NXLuZKDpr0XBSzjIN1NA6NxU2cCUwKfSTbRkom9xnRAAAgAElEQVT2L3Nz82jUdaV5f/97Zh7tdrpYW9W76ziKMCTR0OFwBI8wkMPDAyyRYOrT4ni7gxDimO/c40K0Ft2zsldFiZAAmwOLLf3cFlstRCQI6zjOVNw2y0wD/oc/ex9jupeN197AGy+/CQDY/e5fIFS6ImVxmHeac/UYiedxWZpngZcTjGiuPOz3cZraFyzG4NP69/LZDfyb67pSOM4ktjpkAxL3MaIK65wfgEhpGCutCaa/B0hiEn1kFnx6YZd9BywlYcg4xUN65u2tG5gnlq8/zzFHc1UqJSbUDuJKhWw8e3N9Mglx2NVj5PxvXMT6VQ1jebZjNHZyJaYIh+tin6BRGSaYJPqcf3LjM/BIj6nzm2eR0zzhup5hTObREPWy/s7FhQYcQmhErpAVkFmeonA3SdMxEiLYSIdjFOnztFmMLH2yCOgTE54kSR4rQ0Y0eeXHOto9z8O58+cAaPPHwryLCWFK/8JiUMeYDMcToYJ1ZVmWSaIEppR1N/DhkZLiYDjEiHxulFJTuM3xDF3asn1TXp8lllfmzcDPUoWdXY0Db545bfxVNBxkVlQ0yMre8zzTd5QiPQYhTIP/nPCaSYSOJX6u65pEMMsyI5T2wouvYH3zNABgZe00/vTP/hwA0DnaA2ezswrA1LFCrjSsCNuyAIKlhBTwCD6rlmuG4ROOR2ZCr3geXL9Q1c4woq75ZrOG9RX90s83qlCkPBhOJshzPWmVUMWwp59ddWEeYUKePcfUuQFlVHotxp5BP/J4xqMMVGRzYJ/M6t6+u4vFyyVzTGEi6MoYVl54P8nH/eKM2SlDSvcpzfOp/ECWwyLFXSVjZIm+1uFwhP6QRPDmltCn8rqwHeMlQ1c76wVCKWWkEWzGoSjhkSpHTAm+splxCU1EZhTEfduZqmg7Cj5RqhMVY0D9Zb7rwiK2VzgeQlEm1BkPEROk4lkOysSFzZWEz3XCc+bsWayunwYALCxtgNMCtjfcxV9//29mv8bcQU79M41WA4qei+c5EBOdzEzaASIa+ofdNnyP5qe0AkFMmEQyBATTVOoKCSWue+0+9g/096xsXkB5RSefIkmxdV2zR3rDDBe+pHtHggUPOS08QakG29HXO9i7hTrBbdJxIJ5hsUzS1Iz3C5cuIQ91wtYfD1Fr6c3W6qkFNH09Nm598AkC6jEp2Q7qJDuQgRlocmFxES0yYny4t4OjoX4v1zZO49p17StXqdZRKul7cjwRcRzbMEo7nSP0SKFaSomFRb3J8wIP4YyJ62PtDnhceNDIKjCOCiXLFacCSYsaUxJNgiU554iJneZ5rmE0VhsNnL+gmZeu62NM79aplVM4d/kKAOBB9wg/+snb+jvtHLCLfkdlNpkKeDa89VjYIkNBBjro9hHTOmQ5FhT1CD230sL5hr7Gh70RhkQbr9gWmNBzXH8SwvXIQ9GzcNDT75kYDwxMXeYW1qkH7TdfvAxH6PH407sP0aYerqM0gU/ns9L0Icmjqmy5RqxUSAH7GaRM5qoNXDyv7+eLr75m1uajoyOjSe26Nk6fPg1Ar4UffaSFEx/95BpCn3oYV5t4eV33DyRRgn5Pj8319VMQVKQYDQ7RWtbHLCxUkAs9BjvdDpTUz07J3Ij8ZjI3dHvlCfTGRaKlYD1FB+ME0jqJkziJkziJkziJX/l4YoXn0aNHj5Uhu10N8ejSsE4pr169innyhonjGB41iA0Pu6hU9A6qsrZoqiUW42Znm6bpY9BPlTJZy5k2SIMBz125BAB47tIlHL3zDgBdCSmyziiOkZJbs4Jl5PVnCc6ZEVbzPR+7O7rZcTKZoKjXyGNfyJlldmiNRgMlakiVmTTVKtc9blEwFZg7DudxPtULOr4rYpZl9v1xmqNS0d3rV194DW/9SAshDnr7BjaYJXSWX5yDgqLmMhscEZWHR6MRPLL95VYOm57YQtNHj/oVmeUYH7FmvYwJefa4to8XTuvmy7OVChyCT0LHRpOgAnbUw+CRhhOqjm9K5CmXGE505ScXU3E9hWfTcCnumVIKdtHExgVCW4/TH9zZxbma/s2X6lNejRBT5sDPV+OKKmOeZ2YPf9wORTfd2+Z3JyTpLxnH5nOXAQBeuYoLLQ0lfOftaxgSFMI5h3iKZsTxKNk+vMLcOc3hUuk8lxmswrHd4igRZOYwBYduSsnxUXapIqG41rSHbvAuGkNlmsGhqk6jUUVOTZNhOoLrkNu4ZcGzdHVzsbWKL7zxO/p+Xn0TPjViMss/NmeEuLr+0szXeObMeSgql/uuh35PN3jntkQ81Lu4YSaR+Lqa0R8PEI10hWSu0dR2IADiJEJvqN9jFxrGAwBbAtWanquYDNHd09WewXCCn31ILMnBAMvP/xoAYHVlAcrS74dj+Th3RgurDR99ZtyvpWVj2D+a+Ro9z0UU6vu5vX0PLNPjwbOd6XsQHWGPKs3J6GjqdO9YaBJbyXZdCKp6+KU6FPlk1RdXUFrQ41wpjmpVV2kuXryI73znrwEA4SjExoWzAIDllRVIqsqPhiNTvWeMmaqOX/KQUDX3aZFmOVRR8WAWclaMBcAmOKNaLqFK1fA8jlF0stq2C4cawNu77WmF0vNRLvReEEDRd66trSKd1/NLrVnD+hWNNPynG38fvKLv5fe/9z1wSZpVnIGrQnTVgioqo0o+Q60VOFsJIIgl5DM1tRqybeMduFhx8JXnNFT4wZ2HOKJr2WiUUfc1LHkYjuDQHLMwV8F9X1dvxMBHmdbOcTKGT5UZnh3gi69cBAC05ipYJGHOH31yF+/X9Pt9bs6D39JzceSVYHn6vo36I6ytLMx8jfOry6hRG8fi0iIsmm+6wx6ERWs2U7ALIkqWokpCmPZkjOi2ZjQy9xLYac1K3LpzB+0D/U4vLfuQls4nTl2oIgiKVoYBcprPwniMlBACIROg0M3iFmzCAl3bMyw/KRmqJBr6y+KJCU8URUaUbzgcYkD4bhRHRq01zVJDDYyiCBGJ1EXtIzQJ+kE1MLTYnxcg3CGl0QcPH2JxQT+QoFxCdkx0bkKwhB8Eprfn8PDwmIfXlMaZCwXbmn2hzPMpjOHYNiYTfYMPDg6wuq7FkySbst9cZ2ISszAMUS7phxx4vlF8jOPYMNQsy54ukMeSHAaYEp2Uciqcx9RjvUw5TWr3H+yjtUhKr36OcHA48zUex88ZO/YMVMGwAsIwgiDUsdvpYH1RT6z1Wh0ZDcDRKIZF31NyOM5u6IFsKxs2jYFu5wghjYFJlmB3R0sHlColDEmd9Pb2NhaoFLqwsYKcJgnBgWZLv2SQyvTzPD2UeUCMM3CTKAnktIjvjhJsH+jx+3qrilTpCSvLssfkFo6rfU9L88wkufaxfgIGZpgJUkqENKkxr4ThhLyclI9P7+h+nndu3EMC8m9i7JkSc0sxAxfbrmsMBQELtkWGoUrBt4nyaiuownNKMTgEaWX5tDeJCWXGoGtZWJzTyXVzvol96jsSUqBMgoQlfwHnz34BAPDFN7+B9VN6I2LzEvLC20YwcKP8XML5tcuzX2PAATq3bNTDoK+ZJ7LRQGesxw4aCkfEyNx99BB12pXkaQZmFeatEoxw24wxyExn7L5XwtmLui+o4UvsPNAJ+L39IW4+IuHMyQS3bmoBu+eeOwfG9POScYwmUf4XT5/FaDwVNvTKs1PvNzc2cYcou0GlgmSi75VfqcMmSYTB4Tb8WL83rfk5Y9jbnJtHmfzrAs+ClHrsDSYZEpr/Ns6ex91HuucnjTJ847d1UvrTd9/DO+/8FABw8colvPYFzUadxCP0kx59fxMesbSklCbpHU8m8PzZrjETEja9fxazkBYAiFSo0uK7WG0iIp88IRLjmeVYLlLCK8e9sREhDQIfsAqxVAaPvMssb4KYvJYm0Qhj6kva3DiN/+q//K8BAJ5dwXff+rf6tyDA6T2wFYeiHi6F6fw7S5yeKyMe6PHi5BEy6iWFW0ZuRBQVLm1omGZrdwftvr5eKRxY0OvZ5dU5LLb0HGpJBauvWV1xbkGleq5aqVexfF6P2UdbH2HrQfEuzoHTnHt1eQWjVeoBPbcJhzY98AO8e10n8g8PHqE3nk1aAAD++nt/jX/9bS0B89/+N/8Q/+A/+QcAgI+vXcMnn2g5EsuyTHuHYzN8//vaJ4vf30OVksytmz/Gv/zn/1hfVzKGZesbffnqBUjaTCjG0B9TMWXUR7mi70lr6Qpi6lUdjQdGLd7lFlxiEQdeGQ6poXPmgOHJTLQTSOskTuIkTuIkTuIkfuXjiRUeOyghJoG7cZSiXCW7hFrVsLEyIYz3E2SM3qHemXhRiElCkujLLbgNXZmxHBsOVYd6wwHe++BnAIDBYIA9cg7OU4E0mcJDKcEiQuQmo2y326bCU6tW4LqFE3eOXM6eruepMP4tnXYHI9L8+ezWLZQLr5pmA5J2G51O25Rgz5w9i5AgCotbRmtICGmYEp7L4HmFXLqAVQicgXyfoKsShS6Fdg/Wx1gWN1UOx3EwN693d5UVD9tbs+vwQHHTpGtxC27hep+EphF9OAoRpvqHe0cT+OTZUi9X4ZNYWzdLjLu6BcALCgl7ge19Yr8ENchAH3+UTBBRA516lACisCVIEX6sG9yEzVCd0+Pqi7/+Jmr0fBWk0Xd66uUBj0NOBfsGgE1QZ9ViWGpWzDHHodqiMuP7vhnXgDKfpZKY0I5eSmksRFQ+bf4UbNqA75dsCKmf+dsf3MDbn2oNjnZqIyedKuT5s0GvzEJKTbmhFHCoBBx4FhybtDziFCMSjPRKFpzC04ppYTNA76aKAWYpwKUSf8l1Ua7re7931MP9joaEhGCouHqn+tIL/w6++ObvAQDm509BSj0GszyaEgWkgixU/BRDSE39zSdXmvX5M472Aw3lqP4IgooKjE1QpgrxKErQz/UcU/aAFvlPOS6D6+lziOMQ2UA/UyWEYX2kaYKU9GQyzzZCnruHR/jxNV1qd5jAqTu6wtO7/Q4cqnJk4z5EpsfA+bXT2N3T+iM7/SO4lSmj9GmxvrkJRvPNfqeDhKpwSa+HtWVdYSt5HCWPdul2CRbBfI7nozAdYrYDQffcKQVoNfV96IwnWFrUlenAq+L9n30KAPg//8m/xCJBXW+88TmUC22oSoCwcP5Oc+RUsUy4gl+IRioJ7jxxqZgGg6mWcM5BRTcEnm8qiCoX5iDXdhAQ3Nqam4Ok6mmaxJDUVTzs5XDdQqzWhaTqXRxlGFHTsu8mGB9StWcQokZzyre+8u8jH+jv+dmnP4akBnwLymjCcMt+zNfxafHD96/BpnJ45+AAVWqQL79Uh022NhIMQaCRgIO9fXRJ0PbcQgMjmm8uXryMZkW/GJPhAJvkaWZx4K0f6NaNrWvX8R9u6ufZizn+nz/XsOQ3vvo13NnVVdjGRhNf+c0vAgDml9fRJ2sXp1JB952fAADe+fADA0vNErduXUdM4+K7f/Nd/P4f/j4ATWT68EOtR3X37l1sbmiNq2o5QLutz2ep1cDdHf15vxOiUdVjbWFxAVeu6qrwxedOQQg9V3U6AxQDZdjr46cf6LWh1uhg7RR9f3UOFq09pVrV6DIBHIJNyU5FrvDL4ol3YL7VMuZ/5zfPwPWLF29q3CmEMC/kcDAy9Fdf2BAED0XDEUCLIBM5mK3LXXEco0aDpdVqYYFYCiJXiAkS4NbUtNRxbHz0kb7Z29vbZtFaWFh4rBeo6OCeJVzbNZ4eNpeoV/XLd7j/CLdv6XO+fPUKKkTT3rpzG9/+VDMffu/3/y5efPU1AMBoPEKFeixSwfDt73wPgFYz/jvf/BoAYK5ehcqKJhVpRJUssKn5qVTHyqsKBE/i/JkV9Hvb+njFcO8ZfJgADpu+yLVsBHbBbBljQAneQbsHRv0cYZLgsKvL3HONEjiVkIfhyCQtZZcZeE4oCylNoEPfhaRFbswkFOHPllcy4n2Vlo0qTayHR12AJtN6o2mSBoVfbEL4i4IdO5YxBllkleBwU/1QrqxXcH5Bn2OaDh6jyyaEx9vHJgTbtg10dRz2AmD6XsCm/VmcW+A0Ee/t7+OjbT3BvXf3CEdM940MHQ+Zmr6Qs14fAOQSRhzP4ZaBAZnm3QIA3CBAmuhjwixHudiUSIW0YDXYHAnBCTWvhJVa01zLgBbfXreDDpXLLdvH59/QrKUvfOl34ZSW6Z7kYIXpqkimBocSGPV1eTpPIwiHmHErm0+9xtFgiNt39LiruQqbZ07r3woz+NRn15skUOQpttAK4BKbKQxHiEnsUUgJRdBeHI5M7xMUR0zXNYA0Io2BlyMjevNEOrCGOqH62T//Z1g4pZ9deZ5B0rtbXjkPtq9hI3XYhTzz4lOvrYgbn31m+lHObG6YxdviHAs1PYn7gQ2PxPjKpfo0Mc4lcoKuRkwaRmMOjjArEssmslyf57/5znfxw+/rvr/z5y5jbU3DxQ8fPMA89WdcuXoFI1cvPDc+uQ6XIK1RNEKJNjorrQXsdzuzXaBSpicIgNlczVfKcGnT5ZR8eLSWjAcjLM7re7y8uIScxuB42Df9MDv7O1gbasPQ5eVTRlxuMOjhgDbJ9UoNg47uper1B2hTv2l/MIRD8MpKawXjSP87k7KwzYNl2cZjbZbodA7h0bXUHYbvf/8tAMCj3fuYo/6ccDRCt6/n1qrj4UsvaWHZ169cwvkNncAMhiOsLOrNhL9xCqrwpOQKf/WWZpnduLONf/rHGhJaPHMW69T2kfQP4NFatfLKS1gmNi8sD03ylMuZhaUlDQ853Ib1DMTew8MdvPyiHtdRFOHhQ70REUKY3tyrV67iC2+8AQAo+S5eeukFfQwT+Fd/9W0AwN0/+3OkRoklAL1+GPQsuK4eg/t7A9z+TG8g4skEvYF+juObW6hU9bq7dmoDzRo5GYQRFkkGRUqBwgzR9Vw0Gk/efJxAWidxEidxEidxEifxKx9PrPB8/OE1ZMQ84VLCpuy/2qyjSVb29XrNOIxLBhwRY2EuywGCAZzxGIw0CZAzMBLValRr+DXKEBljRntgrrkAi8q+nDGz847jCCk1Mb377k8MFHFck+c4i2amG2BZZuccBD5OndJl38FghO17urTt+yVcfl5LzEfhBPe3tQDZX/7FX2DjjGY7uF4Ay9VbyXv39/DhB1q6fThsY3lRV0h+59/9LVOGZgqPQza0C3UsByI75hRPUNrSYguXL2gWwv2tm1DZ7NdYXCcAWLZFruB6gxNTdSMMYzikseLaLhSVkzv9PhQvOuXtoncQQiojdiaUBugAYDQaIKDd28b50wioodMPSqYy4rguuD0VbyzEq0rVKiLaqXLFzTk/Pab3UampeziYixUqxvzaRh0Nl0QWQ6G9vQDYnEMdE9csBAaVzA3kKBmHLFx7WY6iBBcLGHjWUxJWsVu3PIxTffyY1zBmekefgwGFHpV6tqblJE0NpFItNU1FMBPZlAGpGDLaXUdJhDIxejIhIUgHRFrTilYzqCKmd7Td62NEu9ZapQpFZeJTq6dx9aIe++VSGbEq1Clzo5+ihDIuzioTCPu6GrB14z2cu/rGzNfILAsW7R4zTDCkhvqaU4ZFbtAiBRISGhPIIAhWE1mOjN5jLwjgURVZeq55V/Isw5jk7H3fwhFVMR0eYrmlK1FRJFGP9fnfuXYXETnFV8aeqQTP+S0DcVZECD/tzXyNR0dHBhLd39838HgSJ7h9W1cf1lfLWFnWO9WllVOm6pGGEQrTr1TFCOmZ1ucWsLikKyAHnQH+2T/9vwEAt25s4c03fxMA8Oqrr+JH77wFQAtU7lHrgVvykVIls1qrokQkjIQrw/4rOZ5pgH96TPWzhJSmqtMsl7FKjttBuYS79zXMWw4CbK5r2MKGjYRc37MkNiKUg14XN2/qRtmLl6+gRP6Fn3z0MbptXUntdg5Rq+jxriRDRJ5vmVB4eKCrE4fjDmyqfshMgqNo9s8RZ7MLZPIsgU1IRpqmSKhxerh9E51E37P108/h0nnN6rN8D/W6Xv/2t+/jT3/wlr4/ipv59/xz5/D7f/B39blJiS9/QbvZv3zlMsZDshypl1FXuhIp0xiLG3o94I0mOLEGmeXAKarO4GhV9TjitoXkGdbFai3Am1/UMJntunjrLX3Ot2/fxvtkS/L1r30NyyS6uLfzCAHN40e9Q6yv6ErwYqWJRzuafNDrDrG3p6GuQW+EMtnX9PpH+Oy2XlNFnmBtWf9tya8goPlgrjYHn8ZmmmX4kJCe3lHXPAvPDwyZ6h/9o//hF17XExOe5YUFtKlH5WDnIe7s6D6NlHHjfxIEPtaonLa8sYHDe7o01QhjnKrrpCjvdKFq+mQt14GySVDMdeFQKZFzjpgomj11hBr1E/jH2AGWxQ0N3LIswyADHvdpeZbI81zX4aEp6hVSFa6UPSMOuHX7Dmp0LTa3jGHo3qMdfHpdv4iXn38RIxKbe3DvHppEE6wGdTy8r+/JaPR5VEt6AErxeMJT9D2MJiME5CVyPHlL0wxNgh+udXoYD2bztgEAKPUYhFOUipM0w5igw1wwCGJI+J5ncoi99hEyUYhjlbThHYCIK5RIZVgxhjHhvdVaBRvnTgMAgkpZA9LQtFuXkljGOSVJgOv74HRMKnLzHF04z8S2M09dSiO2VXIVvnJFJ+OvrpfhMDK+tByjNpzmOWKazLltgROlXcAz/VNS5kjJhC+wOQQt7scnkIApQ9mPWQkJCW8N7RCZIvXgPIKiH5bgeJaU1WYMvk1jPxUo6vGZUFCFMqlKkdAi6NsWPEpa8jQ2C5ZtWfAL00zmoE99djF3EBVqtsMRLpPo2Ne+9HVUaCOSjTpwS/o9SJiCzPXfspxDZJScZjl8Wkg6D++hTL5Xl16b4RqR48y6Hvs29zGk3kBuJ/BrehKUvREGJEin8hw2yWCkaYoJjV8vnwqQMQZjEpomGcK8UArP0CYmWvuwg3qJGHC2wqSnvz+Ys7BDYnAHt4c4s6nPLawdYcSJHl5icNPh0y+OolarGTmNBw8fYq6hIX0LgF0sWtxDSrBULjhqVMo/GO/BoUTOtyw4pM5+6tQGYlpo//Ef/xM8fKgXmCtXr6JS0d/Z7hzAJwHXxtwcAvo8v7CAlKAUlgoctfXiGo0nyGksrS+vYn1ldabrU0wZ6Jor4FRTL4jnVteN19nu4SEEjcfVpVW0yDgyywRAC3q5UoNPxqqVahW3f/wDAMCN+7eNKGpgu3j5qk7Gh70J7j/SG9QkFRiR3Ibj+5gIYg5nETCh9gXGYRUJD3/Mg/KpwRRHSqKP7f4Qv/GqhnLOlxVimsc/9+YXsLxKSuGTEH1iSP1P//1/h89uaOaUkBwJFRT+/n/8H4ExnfB4no8/+A+0cTVjHA8oqUuHh9j59GMAgF+to3VGU9STDOCkqCwBA61DCtQKP8tcGcHZWWJjfRWHR3ocnT79HP7X/+V/BqB7akPDyO1id1cfE05G2HmoYd4ojvDeO9rzMgzHqFK/zfzCvIFqb299htUVnaQPxyPwguquBGLqw4mjFDlVAkZhjoCMjhcXV01RYGfnEXJSXZ5rWqhW6k+8rhNI6yRO4iRO4iRO4iR+5eOJFR6H26iRlHkSeJCUeSnbR0qlOKYUrn2kZdlvP3qIZTo+7/bRpN1yPhhAURNZqVpBRgwgz3UNjFXsegAgSaa6OtVqxZRZlZp2XelmaW4+i4IZAvWYW+/TIk0zuNTVyNhU6s7zPGyc0hno3e0dfHZTZ+VzzTl4lE3HaYJPr18HAGyeOwdqIkcWx8hinQV//o3nUaYMN5rECEjThHPLVAqO+890u10sEZvC8zxTsXIcB3/67e8AAG58dM1IpM8S3OLG5gOAaTYehyGGI50dM25r4T8UekF6aBx0R5B0V1w7MSXqSsk3VaNcSQiC3lbWVg3bRzcv0r1V3OjISJlPRReZgFJ0LZZl7ByYxYy41ExR6PBYHJwqUmeaAV46q8eOp8ZGdExyCyE12U4E4FPZt1mvYkCl8AlcMGJcBAiRQY9ri1lQVCXwuIBPuhJZniNW+rdutUN8XDBGeGCqOjaA432D7BmYIVJJwya0+LQ2SHwrABoeKHn6OUTRGMOhHoO2BHx6vwLbM83Y+50OJL2LGbfgUmOw5zh44SVdUl9eO2ueT5wk8G29A3c8G2kBqymGjK7R4jYYQdCWyHDvttYW+eoM13jU7iNP9PcziwFUuSq5Eja5h2e9oZHyr7hlhPS8JMsxHOvPXg5wkqSPsxxRVlT8bJAOH9I4gk3N+45fRqWpd9pxL0JtkaDdxTls3dWViK0DgRHdtzfOJujQ/NQ/TPGz2/pZf3mGa6zVagZSDHwf9You65/dPG0gettNsUINxkLZ4MSW2tw8j0NiPQblEhg1a3peCX/yJ38CAPj0+md44/NaK6nRaKBEFeski3BEOmq5kgb+G4xGGEV07f0R5olxtrK4hCE5gk/yZObKuZASFlUW11rLeOWC1mFqVD3stbXmWvvgAItNfX2ba+uYp8+5BJL0gM6Rw6MKViYkJgSf9qMJ1EjP9XW/jOahRh187kNSlcBpuMZuYHy0C9slXTMbmNaCpxY7UsJUmWcJLgUEfU9oc+yGely8+dprGO1rqG7rw+9j5zPNNqo0FyEIQv/yFz+HV57X1dPhIESFIP/f/Tv/HgSRCXI5RkKLSZrlSEb6OeRxhLll3YRcnltCREJ8jbl58IJwIYVpm5BgGNIxqeVCiXD2axQlCHqnt+7dx+Fhh84nNWt2u9vFPo3HaDLEHn3uD0f4hKpYh70uLl7UzKyvf/3rODrS8O97772PnV3NjGScm/U7jhIcZHoMKChMUj2HdbodLBAjc3P9tCG3BEGA4YT0AaMxqoQA/bJ4YsJTKQeokJlbsruNMi3KI5EX+mDgjoNTqzox2D3qYLujy8SbXgldKpevuzYE9WZE4xEyWkAj9rgJacHGYraDMZUkoyg0XsL5f/sAACAASURBVC9KCaMM7DouXKcoVaeGmcU5RxQ92UDseFgWf4wtE4UEe6QSDpVOl5fmsH1fv6zjwQgeLTx5nmFvV/97r9+DVdfHn1pZxcN7msmVhiOcPqVLm4FbxXBI0E+9OvWKYsxQBk+dOnXM4p6ZpEJKiZgm3ItXr+LGjZszX6NeHqdLpKDFPooi5IVSFmNICcfudhMkKfkqJRIBKb0eT8ykVIhjSnotjlWiVM61WiZBYmAGIpJMIS3MQ9XURcpiU0E9BQmuismJH/PYmukizTnaNKzfOL+CBtc9ZVksjSeYgMCAoDzGGJrzesJlfg0lh3oVoqmg2CRn6JH/jZ3kaFAe5tkWXEqKoBQiSrQeDBMcKIKBHA8sK9Rr8VjtnD8DS0tZHDn1VeXSRkIThMM5bJNsOCZJG4gRppM7N8J0rXKAfqgniHKzgV5UvGcRqsSounzxRZw5p8v0yqmBc4KdWWY8y+wsRkZQSJrb5DcHSAiowqfM4ti6d2/ma3S8CvJEX1enH0GQUW0jSRFUdd9OHCUID3WSvjvomoWnXOXgZL7Z2R0Y0brmQgUWMUS7wwTeHonsnXYMhVhIhoCOqaU23EUyxc3nsHNdQwj7owSkwoBxJOCX9W+Vyi4c/8mT7PHgnKNNEIW+Hr0I3bpxEykJl9bnA7QWNcyzUm2g3dXP6/TGBmoNSoTECBbBW1tb93Cf6PyvvfYanntOLzCTyQjjgpU2HiGhOdhybPT6+j5wxzJ9JHESQ5Bi9sLiAvqxXmi3Hj1Aw9CAnxwtr2mSpufPXkSVmGc7h/dx1NPvYqPawIsvvaqvtTmPKokpplEG39PJY5akZq7v9fsmQbM4N2OtG47w1oeahebanpHPKNYFQKvMZ/T+SSnN/GU5Nlyiw3POn6nvM89zqKIVw/ORUm9rWp/DfENDhcmgi1FbL9zjR59C0DlcXGkCyxpmj+PUsIpGu3fwQUc/Q4cr2KQaLsHhUa9L6ARgxIi2rWm7h+85002+EOA0Vw1SiR/e0KKnsV2GHT6Zsn08HFbCdWrX6PYGQLFh5sy0ehweHGCbTJJd18b3yORb5AJ24YnIOS5f1knvyy+/jL/8y7/S1yUEEmLzZllmEhipdC8fALz0/BU06zrpvbt1F3vEjPRcx8Cals1RJtXujbVldNvdJ17XCaR1EidxEidxEidxEr/y8cQKzw/eeQsg1lWlP0KTqjG5UMiKxjTGcemc7ha/dOk5PNjeBgAkYYg+CQ414jFEv2gKtA3rijMGTtkcZxycskhlu0acq9224TjTbPFwj0qVg6HZbZbLJUQkKHbmzBksLizOfAMYswxLh1kMjBVVBW5K/75vY2FB77h2Hx3CIVjKcTxMSOjt6OAQjtB/22rW8Ntf/6q+D0mENWrOas210CMn4yyO4VNmKqU0/mKuO2VpJUlsqlVRFOLNX/8SAODGJ9cwonLzLKGkMoJeAOBSQ6eQ0uyQM5EhpcpPOMrMDtkLHJMVcwZTdZGQyKiqtrCwiFObWmfF8QIIVWjiwLC9lJKAmPrqTC1GjlU5FKYsKaVmlB3823o2hQDkZquMAHonmzHPsMrSPIYiaXLP9yGpBL83zODSaTGpTAXuMAvQJRJHWUwwSPVYk34ZmyXdlFtnobETge0hKTyEwA3bS7DjCvbsmRrshZIoHH+SNNNW8CAdCqq0yGw0tSsBh6TnIMFh0e7XthyUqClegYMRNOr7Ac6saRfqN17/KqoNPWYVDwzsZfs+GLFokkEPQ9LLSLkDSTpPjsXRa+tSdZZL7OzNboFSCgCe63edOfMYkoBaGPcMu23QHWH/oS6ve9V5SKoaJmlg2IfcZWiRfkez1UBqvJ0YXJLdZ9wzu8rDgwHSOKfjy7h1QH5Ip0+h1tBNmVZ4gPqK3o23h2O4IXmoiRzztdmh1ywOIanSwmSOhzt6V9+oN7C6pvVZFBM4PNTzhMweokqqjY+6PSREjJhvVnBvX5/bZ9vbWDyloY7ufh+He/rf4yQ2mj/xJDLjf9QfGAFX33bBSLBxfqlk/N28RgXLuYbWe+0uQj4bi2mp0sQ8kRmqjo0wpIqNzNAg4dTLl17G5edfAQD0J2OUicjhuAkq5aE5xzjU1anDThuZKJiXU0hecEDSfDSRGSZUcbYjoESsPs4ZcvGL7GKAgurIIMxcP0sox4JFFa/1jQ28cOWqPh/LwYMjXWFYrK9igRrtAyTIyRplPBxNq+pqKkrretP2DsEsdIiUsry6Bqew0pACeUFiUcxoHOVCwDLEBYkeQdn/4v/9Nq69p4V9y5zDonlxlrBsIEv0GIwmbbgOCeBaU0h8d+cBdh5uAwC8km+ei2vZUysm18MCaQetra2h29VzRqfTgUOVuHE4QkzvhJDA5dOa+fz7v/d7eLD9GQAgi0IMx7oaeniwgwqJIA/HIyySfh+YZWyuflk8MeE5bLchRvpHKqnEAd3I2OFozOmJvtlaMIyb+VoT86/ogTwJQyTEpuj3+8jogjzPf0zgrUhy2DERN8G4odemSYKUSl+O4yCirvY0TUxJL0sTjCmRWF1ZRosgilkiS3O4XsHwksZYEzYzpTUoZRgGaZzAJlGzNJbo9sifJM+xt637FT7+wT189Yvaq+bi2TOYtHVZ/3vXb2KL/HtqcxX8zjd1J74Swky+aZYhpj6GNMmMMV04meA+0eTfe+89A0vNEkpJU9a1oODYU8+vgrHlei4K4qkQHhzql7JtYcQGGbjJT7jFDUtreXUVXmGiimPJDFMo2ERKKpPw6F6pYrJhJglQSkKRoKKQ+TNd41R4kEOSwhbLJwbGinkAC/q+DjOJia2fZy8Ewl2dRPdGE5RrxBiBBWHpiWYn9uFJ/bevzPk4bOvJ6NYRR9bSx7xUFahQD8FyvQJ/j+i1Shrz2fxYCsdAqsczRh5nyKgDyCnVwU3ymEPQ9+73eiiT31O9EoCq4kiTDC8StdzLcoQ0mWZhgrPEsHSdEl55XtNQT597Ccym/gnFp+wOzqGot2AynmDnjp6MSnM1SJpwx+MR9u/pPoYHhyPc35vdWFNkroF4RuEYmdDXlTAOJyiYZSWQLRFsMUKNIAQlMhz19TOq+gEs8lCLogyTMUGT0QBxrOeeS+vLRg7BDTxjlBn4LiKinI+P2rh8SsMJyWqAxXWdJDCPw6OxEYdjHLVnM9YEgNFwAEkqvQutOVToHeKMoTWnE4JyuYy7W5rZKXOFxopOZtxKFSkZjz7aaePHH36gr1FmUARB53luRPTCaIKI+oJGoxEmtClMkgQxLTb1ag2KmG5xmqHT0Qt2L8+wsap/d2m+BcefbbG0mcA8GZxZdgqv2Kw2myhR4nbxlZcxv6KNNWWngwp5bOVegkGdILj9I+P9NBgOzGZMMjkV+2QMFm3HJDumBi0Vcpq/LMkfU08/buQcEwtNAQaCmSUs10KNWMdrSy1wWtv2d/cRxvRuTTKs0EZXBPPgpFZeXxQmGWBgsOmcGZtSxVSWIk30OhFaAbgqCg3MQNmWlOj0dGIbJYlJYPuDPt75mYb53nnvfSyX9Pj1aiVId272a7QdnN3QrRjLrSWMad2N49iYJMdJati5UZogo2RMZvm0qCFtjMf6nqyuruJb3/qm/ndu4xOCzLI8Nf2jAPDKi9pw+PK58/jJj7Q/1+2tbQQ0Bg87PZNzxEkCIsxhEmWYxE92IDiBtE7iJE7iJE7iJE7iVz6emNa6jgt3UZcb40lidHJSmUA6JGTnOegc6V1cFEfGSbxcLiMtdEniGCMSEatWq2Zn9fMigUXjVa6UEcPKs8xkf45lG3fvxdacqfAcHOzjFO1GbA5EkyeXtY7HZBLCDwruvjzG9hJT12c2rSAsLMwD5Mja645MM9cwjfHSeQ3ttW/cwF/9H/8XAGBjxUFOvkfv3J7g+r6+h5efv4DPvfY5ABpWKTytFIPRrklEipR2D91eGx9/rNlw7Xb7MX2ip4UQORTdQ5szuIW7hVLwqVwKwaEKOE9kSEimn0HCIvjEti0UxRvP93BqQ+/Sao1GUbwBV8oMKl29mzqO/zIdiOIIqaY7MJHnpin2acH5FJphnCGlWlWYRHDp2W51U+Nh009dtMmXKklSRPsaVvCyHmRNHxPWz2Ic6CpmBgtf29RVw5fPu7jX1fDdOx8M8dMd/dyWT+VoNvW5b87XUeEaSpsIhbAQNpRTDyHGppDZLFENyrBtfW6B44MTnCiVQkq7e2nbIDkW+HYAFNo7roOcvN2yycQ8h9WFJVQc0mNZXMeZ81pKXqkAgmwUFHLTRK8ACDppP6igtajfuYmKsHOod5tbd+5gd5ugluu7uLc3uyifxRlyUWhECXDSx+oMYvBA76iXN8+jdHtbH48I0YQgUxcoF42MYAgnJIo5GUDS+fd6AkGid6ciSyEJWojSEPUyCcn1MzgkjNo92MUh7WbzagVVEkFzqhwOK6AIB8lkdpJEv983MNPrr7+BR9u6EfP+3XvYJnn9SqWClKDsOErw9o9+DAC4ePE5PLd+GgAgswxrJDa4vTOFvWzl4QzNQ++++y4OOvpZ2I6DJRKJC8PQfHaDAAnBWEe7h0hI/2e0f2S0ckqujWg0m+7X5sYqWk29ZtTqJWQEQzQrdcyt6flifm0FQU0fU81yBKQ/JFgCl6BXblkYETtpNJ6YKiZjHByFsB4M8xJsSj6RfNqczBk3opiMWwZR4FwhLyrOYM/EmKw3qvAc/bedwwf4/lDDttWgBFkgFiLHPInz2o5v2hQC1zWMWSGmzb2O4xjiipICUaF/96OfmHciE9LA74HnQGYkQijJUR7AUa+HjJ7n+oVLBjI9OtiD4MHM12i7ZQgiYVQqPipUKcqyFHGh3ZVm6PV1dXMyGZp/V7mETRCYYsCntG4ddXv4e3/4hwCA3d09XLumK5R5lmqrDwC27aC1oOfa5kILB6QL1em0caawz2AME1ovIRVcIg0kucAqMbl+6XU96X8qIWD7hZlcBkWfbeFOS1aA6ZIulUoGzkiSBH2iQR51jwxbwLZtzJGJXBAEv1AwMJdT8SEoZfpGkixB+0C/wFmaApRcrSwuoEwCW3kSwXkGck8cZyiW3ONUbyUV8oL5xbihLdq2hYjKZtxiRhzv4GAfKakuf+MP/h56O7qPIT66C4vUPYMzVbzO9Dmvby4bKCfPc3PfwiRGUng45YkxLZ1EIxwRPvy3sOinhFLC9HPkSqvtAlpEqkhQ5SRFRguAawsoSUwrbsNixWcYKYDl5SUsEzsPlm0MWx2ukyQA+u+K5AoMRVeOlNOyNNPZZHGix0w9JaSaljmfFFIx2CbhkkiIpXAwYXCX9QSxfdTF9x6RrILrQlDJe86SeOWSpoluBim6VKJtOzYeoKDOc7y6oq97lOb4aUd/7sODIFPOa0MbS1QxXiknOFXR9+DjwwkYJcielBC0iEslIZ5BelDkEg5NjlGYwKXr9QIHDg34PFZGmVspmMTm+edfQI0ovg97N+GQESOYwiNSvK3WFzEY6OSkKh1wYoMwKPP880yheLnsUhNLZ/TYub9/H9duaKGxt3/yAdoH+nsG7RjRM0AFg14Pvb5e5KqVMmoNPYlfPxigc6Tfuc0Ll7D6GUEF412kRLtltgNGUJHHFXIUPmgSVtGD5PgQNDaEYkiJETYZRcjpe2TOcfFzzwEAHu128PYNvZj5DsOFguUSCfg++b+VPLi12ReSer1umKl3797FoFB7tm0Da0dhaCQZbt28jZh6k/b3DzF4Ts8BrsURj/RYLVkBVij5aR9+jA+LBWbQMxD98soKXntVM6Nu3boFtziHBw9Q3TgNAFCsbSQ0ypzBLxUyCAr+jO1mVy9eQr1W9DhaaBNc3Gy1sERs1dp8yyTRjjX1rMvzHCklWe1eH0cDYuYlGUDPkEEaEFwpBSmmm1Icg7WNcIOabqqVEObee64Pm/42y7Kp+e0MoaQ0G0XPDzCgtW04DmGTibXMM3R6+vwtzuETHCOFMlCalAqK5gMFDkFw/jjOEVKTbJKlyMldQKQCrJBYFxkcVvSmSSNca/keCuDG9wID8aRJBGbNnphLKVHsbhUASUmUhAXL0e9lyXYR0NqfxhXEJG/AwZHmBKWOQ+w90En9H/3RH+EF8ud6++23kVDrhlYSp/tvWTggE1K/UsEbv6Zh9lOn1hGN9fdv77Wnx0thenAd28KFzXNPvK4TSOskTuIkTuIkTuIkfuXjiduvWqUCi7QwPDfG/Lze0YkECKj0KKMUkV2UHkemwRiMGeaUzJJpB7oQ6HanXPmiUmRZ1hTq4kCSksCZ7cAjfZAkTlAhYUOUfFRJtKtaq8ClXavv2nCfxZJAAmNqUmw0y2ZnoHcJfzukEsjo3LI8QyFIlA1C07T1wc59nDp9GgBw+tXXQf2WeE55yGkXN4lH2ksHMFUW4PGOe8d1EUa6u3/30X0cdacNoM/C8OF86ttkHRMgdBzHVGCkVObckiScNh4rBssuKjMCLWLAbWxuwqLGx0zpKgigxaJMaUHBfFbqcfn24+7mRhvjmO4OtxgwYwWkWqmaXR/nltG9uX1/H9llXbq/eOUy/vKObubr9I/g0U4sVjFO0f2/vNbAmbP6+BgBbnb1+bx9exdxqv/947sdfOenWl9DujVktLN651EH5wINdb12po7ffUWX7+1P9vHerX26aA5GlQclhXEYnyUUbMQEXVlcwaVBJW0YuNJj3PgPTaIYATFVllfXDWtlPOziHjUbx0cd9AbUJPruO+DUqPzC8y+b5nEIBb9oBrU5bJJuz3gDlq/vW1CJ8cnH2wCA9z/eBqP3leUKojJ7hUdZ2lIAANzANlXVWiPAiIQ811yGFfLa6e330SI9HMthkFQdSEYTw2ZxvQCKHOSDeQs+NXVbroWlM7qSU7m5g5SgLuXb6IX6by9dvYz7ewTjh0fIyPbZZhyS2GrKzuGXZtOoAXQ1oZgj8zzHaDBl7xQwdaNRh0+Nx1GUAKQRlCSZEbEUQqFe0s/C4y5G1IjOLMtUirwggEM+Q/3REB98oCEEzrk5ZjgYoHvzU31dkoPTRLGwuoq9A60xlkaTmZmvp89dQI1sKwZHXQiCGBbX19Fa1Sw02/aQFVVyqVseACCLU8QE5Q2GfQwmhSVEjKcZz0kJMKqW6Kqx/ncF9di8c7yyLAovOCWeSchVZQqDfa2lFLm2IeT45TLqDbL+8ILH0I4BrTEyz4w3mhQKGTWMK983EGueCOSFiK2AaTXgNR+yaN5OFPKELEGSDKzQylIOcjqfcLAHiz5DSEMEmiWYZT2eHFBlLEkigODuPM/MGuk6npHqsQB4otAns9DLdWX0Bz/4Hn74ox/S1zmmiV7J45U3B++9q+fp7tEA/9l//l8AAB7dv48//uP/nc4hNfAfg0JGFTC/VEKve/DE63ribJTGKUYDnZxIF2iRJftkHIHRQp+mY2TE2U2FMOVDx3HNIHVcBxXCrX3fN8JF7XYP7aM+fU9kTB9LQYBGTb/MpXoAj8rrXsUx+DeENN5MnuPCpYleMQv57EgBbNsxHljlsmc60IWQaBHdTScGhbChQrmiJ/TBoK2hNQA3r9/E517XRomnltax/Zku422pHTBGIncZh000bW5LnDmtJ9xGs2kSP18xw0S7eesTfHpTm6QNhwPT42RZ1jMlPIxPWVEczDBthBBIiMoZRREyKrUyKIi8YGlZhiruujbWSH26UqsjordSwTA8aYIh2EbC/JY8lgcBzKjccs5h29PJxiQ/z4CpN+s1YwArlYJPasO7/Ta+e0O/AFa5jiqjZJOzgtUNISx8uqNhhX46RosWF5f56BL1eK/dw19/oBe+3UGKPpXay26CwpSrPerhrWv6OuarVaw09Di9sFTHB59qlp6yAtgEJ1rMMoaks0Se5WBEuxK2Qkg9ObYwDHV4jmfWhdE4RtDUCcnu3hFS6jMRiYJkeoFOMhvNFhk3Wg5AkNC9O5+asZYmsRmzrYUFNBcKuvoIpZqeD5SIkNKkBtcBo4Vbqdiwq2aJhYUAeZ0uwC6DE9X93EUXpZp+FpP9LWwsUs9dVIXFCjgkxiQsjGcZ5smssdpswKLBmUoBENsuScZYPqMX4FKpjnFPv3Ne2cbDbQ3zLczXcWFDJ7osZXCMyrgLKD3n7e0NsTA7KRQKyvQkTno9Q9ltLszj8FAvog8P91GvkDlptY6cIC0oZUQC0zjEGUogZLmKD7c0Q3RpaQVdgr6TJEWTenvCyQQxsWbTNMPqqhYK3VxfxwOCHA729lGj46uN88ilxmh3HkwwTGZT6S1VGnApyQIbYpHgsmqrZSCbPBZIJySCyJiZxyfREG3aBHa7HfRIIDOWKX7R5udxWP9xmP8XzY+MMQOfRVFo2gUYn7KlZolxHCMb6TmAqRwWrT01KYwDQZzlKFPPVxRFJukSaY6MvJ8gJOBSEaEawKHNk+gPYLhGrm9aBFg4hZZUnhvPQAVmkiKl7On8qxgqBDnFmfbumjUUtBm4/iIYzzrfL5mNaZ7//+y9WaxkyXkm9kXEWXO/mXevurVXdfXezW52k5RIjtQSRUq0hfHIoxEEGRIsGBYEyBAwgGH4yTYMA4IBC34xBoYBv/BBMCBqSNmiKFKUhqTYzaWbvVV1dXXXXne/N/flbBF++P8TmbfJrso7Gskz7fO9dHbWuScj4sSJ+OP7/sWx6U4yYay0brIMOqHfKpVdcAYQeNW6jfYaj8co5WtttWz3PyFIugWA/+6//x/xL/75rwEAtrfu45t/82/4GmnTb7SaC/CdvOi1QCl4sKtHIWkVKFCgQIECBT7yeKBZ+/Y779iK5NVGHVFKJ4d6vTJN5S+FzffhQFjaLInHNhGRdKTNqTIcDeHzCbBUqdpkUf1hF3npJOU4WGOH2LIXgNObIIVBKvLqQQIOn9wc6cCRLLFBIZm/lBYyYywlubm1iz5b7o16w7ZZCGOruQoBK88tLjVtVNd4EuFPvvQlAMAnnv8kHnuUklGF9RBw2XLPHBvNZEyCkCvHRsMR7nK6+Vs3b+CdK5Sf4N79m6hw8sYgCO2p2/P841X3FWYq1UFC8onRUcpa1lpn1qlYKgd5BXnluDCaxqdSKqPZImo7E47NhQBjIO1xQCCbhl3ZhIqZtuofHCmQVy1TQk6rogth5wzlpZivf+2D/SkjJADJR4pDU8WfvkpRCo65CcO0dcl1rcOwdD0MOc/FG5sCKi9/gSEyPtWEBvjOFXZCFyHc3DHRTKD8/Pks4Vqf5su/+uvX4Gg6TR/GDgRTMKkeIovyMVCQDz6MHEEcJfA52m8ST/NNBIGLWoXYpMEktoPsKA9bnAOnGm4hZefq0HXw0i9RVea/+Po3EI+p7wuNBt64RsyGdIx1WNUmQa9Nc3OpuYhahcYzDBbw7McoynBr5y4uPU4Oqe/u76I7yVkaHOtI5QofiiOk3LJEGNLYTkYGymMGb7KPCb+jJRXByZOXJcqWFPDKLupVan+j5qHP+VxcITDukYS0N5zYOlOPPnEensuRoI7E/QOSUr761e+hxfLc0skQkiPafNeDAJ/kPd/Wx5sHK6urtp7QYDjALlebrjXqELlDuOfaaJ9MAw2WK5qNCppL9Fvv3djDzR2akyWvhDJHscWDFBWfGDBZE7Y8SqvRsBGug34PY3YwHY8GcJgZKVXKqHK+sUq5hC4zToF0oOZ06pXGwYDZx+rKKhrLxGDFSQrDtMX4YGjdHaTUdt0RBjC5c6xO0Bly0kKkVi2wTrsfgJhxQBDiw5N6TkvjaOQEq+c5Nm/TPAjrVQQu54gaDe263O8PIRTNC+m6SFkuVkrZeapC36oCEikE13zTo8QmmRXjkc3RJXVio9IglF1nXeVY5icxCcBrtJNJG7HlVNYwZtVcawHnGEESENN8apnObOSXkLB1u5SZBjSEgWuZZg1gwA7+Is6g2Cbwq1UsGmKFoyi20ps006i6yWSC/TaN28svfx+vc64pnaU2+aTnedZtpVar2Kg3JWETJH4YHmjwJFKj2SSKs1ap2CzB1WoNHk88BYGEF9lBHFnjIc0yOwWdWFgabFbS0nCsfwgAm3FzdXUNFaYDRartSwAxjdhypbJh40qpqU/IMaQQAIiz1L5wvcEIC1zIbqm5YDO3GpNC2w1dAkzxl8sBNjaI8tYmw+EBjc/ffudb+LtXKJS0tdhEif0GjAHGeX2m4cDq9JVKBZ0OLcqDUQ+lKj2WxZU6Ak7K1emMbRbo2SSNc8GYacJAKW12T8dxLa3rOC5cd/oscqMoyzL7wlVrVQScYDDK9IzRNbPcmKlmTo8n/5dZIX36v2L2n8T0c0Z62FzdGw37R+lswf5ikFYmVTqDw0SxEX0Y5LS7A8XP1geQ8RgkjkEi8kgJjSCsctMFRF6LzGSIerR5Gakg2UDa7Ce2gJ9rIijkFriGjjniTchj1dISWthis3GUIGCZF8bBiKUcnUQos//EZJIg4Sikl3/4Yxzs0fz6+MeehV+lRefK9Tt4932qhVOp1q0PmuNLeCX2LZDaFjVcqDSgY5qDn3rxM3juk5T5O8kieOxLE+mJraXmeBLH0ZezVEJw2O14HCHmw9D+9r4tlHnp0UswHdqIS2EIyREjrvJsCgcozx6eDFz0evT9zuYBkgFtxlICKWcsK7dO4PIlkofG/R7eu0UyaH+QYH2RDYzNCc6ep7VhvDvGgkNz4MzGMqDmP2H1DzvY396x7a9ySG1zaRHxAYc3V6p2gxmNYru4O1LYSM1UJ8j4Hb1x/46tAXj61Dk47A8hhcFgSOO/s7uLHq/fKyvLGHCm9v5waKNx1k6sc5QP0D5sI2DD/onHHofw5pN8xr0xXE4GWWo2UWafL9PpI4nyZJwxUjbYhTRw+ACpswyaD1HDaIT+mDY+PROZdSQz+wyMmFlpPmTdMJhu4koK5G47Qgjr0zQP1CQGu9PBwLHGjOuHtnCuUNPo0ySORxssawAAIABJREFUkbKU6jguBGc6104GcGi5iVKA57IsV6c1BY0A2GdUS9j6aek0wwUMPGuwbayuos4h/6NB1/rolQFbs3AezEYOK6WQZrnfkbZ7hoSwfna+78JjWTBOUjgcNhtAT9PNaG2NJc8N7fouzfSevhchTjg1RTSxKWa01pAsXY3iGIZJkzjVqJbp+zAIrK/Rh6GQtAoUKFCgQIECH3k80GwPqoG9QmQpTjTIiW21soCAnTUH4xEOmb4XjoTik7MGrANXqrWtbpplGQxTehqxtSIdx7WnFCkURpwkTmlYp0M40sbcx2lmJS2TaUtrmWwmr8sciOMYHhdQkkrZHEGe7069/qU44oibwxhjEyxpk2F1jU7OJ06exPYWJUza291EspPY63NvdNdV6HEejXbXRatJp8dza6ds7iNjMgpd4XbmzIwQU8fgeZCmBop1R6ETZDm5ISg6CwBFhvGxxfM9O4RJHFunwubCgmUl0jS1lrsxZhrVJQVU/sdiWmRXzNRKE4B1Mo4mGlFexFcKe8ITWszNgGQzCQqNIRqYfjO1TFWifeQxBY4CJDu7ClBuIvrbyMpuJP7xM3dDZHluC5FC5an7IwHNCcIEAC3zunAKDl/vpRkyvmkqQRoF6Nlm809TmMzYHCVSTBOleZ5rZSwzM/Vdz7XU9s6ki5jflbs72/j+j8kRfq/XheZTWSqmjo+TVGOUJ/QTGmWHWIi9wxT7OyST/dP/9CKckE6SRrm4doOS5sXxGPkEy4SALbo3B3zHQciVob1SSOwDAM8b2Yrkrh9gpUWsajqJMWanyf6oDydPMOc6CMssm9cbWBjTmHf3Y4iArq/WKqhw7q6yozDh02at7KLGLEezDpQ4mWQzcpCNiSXzqxWsr5LkXioLZJg/2q5/2EGFq3Qvt5Zs9FMiNNJtXieyzDowV+sLUOz4vbm/B8W1qXb3d7GxwfKMAA5zma+9b+dAplPEHLEoHQ8r7Cawt7+PHkt7zz/3PHa49tbhYRt5OtMsnkaTLa+t4jqXungY9vf2sVYhR3hPuxh36f3wXN+yE8JR8AQ9z1Gnj1qVWLS2OUSf2cT7/R2MEt5XIKc5vDBlq6ksTS51/fT2CGBawkVOaSAp1Yxjfmyl9HnQ3d0DmKlwg3BajkgqJHbPS6zco9PMyv+JUphNxgpmhZUj7H2McmFYZk+UAyf3+o3G0Ly/iplgEpjUJl6dxBnGnNsplCladY7O7I/gHCMSTSllA5CEgHU7SJLM8vnKkbZMSpppBD6rOL5j2e4syyzjNprEiPLK9ULba5CllilSoYPFFisKldAm5B0MBhjH+W9lNvoQQloned/3rYvBh+GBBk+jVrHJztYqdXzyHJV5P11ftD4Tt/sHePkmhbmK2LE6pDJAPrzV8tQLezZpXgaNDodl6kxjzJTn3v4BEk5KVA5CBPyimBQwrHMLbexG5QhlCU/liCPhzQ9DlqV2ckkprbTkLTZt+6neFBtUM3ojMFVjpASMzulyByc3SLteP9GydF02Uy8EwlgfIaWmGUAzDUsxAwYTLqAYxzFqtSrfX9hEafNgMonthE1h4HA7kzSdMUKETSrouo41hAQMXBZnXc+zNbnieFr/RGttDR7PcaAwI71ZDnHGj8gAoT9NVplbRRoGgtsgMjE//ZgkU0nTGMicKkUKM7MSapFP9xk5ThBhDgCplNZnTWqqw0PIMOGkfNokdpFKMsC146StMeMgsW0Q6YxvlBRWd59NvjgPmo0WRDgNqS3zO+EJTJ/PTCJMIQTGY46uWg5QYRlLiAyvvvk6AKCx2MIap0/wpITgxToxAmlelHE8xpMXLgIAOvsjbDdpHJ5+8mm4vLjc3ty3CQAvX7iEiA2MKEkhj2HV3b+3iQqnmqjXy4h5bBdqPqoc9RYNOhh3OK2FGVt/qjAMrSxhfIlcr8iSCDqltWT1xIqVzMplBcULpaMqEIb+dtId48Ip+q0LpxdQrvB8cEuoNKi/y80FOOxrNBoN0OnMX0vr1OlTuHePwr03Nzet4R8bbRf3tdU1ewA66Lax3+es3f0hwjxrd5xgZ5cksLMXH0F9mQynvZ0dNOvkhuD7Ae7zb7lBGRH38fbmFkZDMiwemUzQ5+itze1NNPhvu+02ag2So27cvoWrV6/O1b9+r48Kj0e5WsWQD66Li4soc0JCFXjojCa2T7mklaUaQ/Yt6o8G9qBAr89PkcbF0f/9aTAzhy6jDbI8ajTLrB/hMc6OAAA/9JHlkrKj7Ck4Hg+hOWFuajIYvr8UEo6fZ5B2kHGW9yRJILguo5ESGT9/L1YQ7JM6Cct233CMBjjZYJqlgM7TVEikbETfG/btOlR1BVLeR5MoRbM2TX/yMAgDe+A0eppTxHGcGUNIWlkwnfHzcRzXJiSc3e/9ILGHmEmcTrNhQ9mitVmaIWDfVs/z7HpQrdZsQt40Te1jdx0HPu8lnhdYefHDUEhaBQoUKFCgQIGPPMSxnF8LFChQoECBAgX+A0TB8BQoUKBAgQIFPvIoDJ4CBQoUKFCgwEcehcFToECBAgUKFPjIozB4ChQoUKBAgQIfeRQGT4ECBQoUKFDgI4/C4ClQoECBAgUKfORRGDwFChQoUKBAgY88CoOnQIECBQoUKPCRR2HwFChQoECBAgU+8igMngIFChQoUKDARx6FwVOgQIECBQoU+MijMHgKFChQoECBAh95FAZPgQIFChQoUOAjj8LgKVCgQIECBQp85FEYPAUKFChQoECBjzwKg6dAgQIFChQo8JGH86B/TJLE/PEf/zEA4Gtf+xpKpRIAQCmFP/zDPwQA/OzP/qy9XsoPt5+MMQAAIcTfr8XHgJjjx/6H/+MvjOJ2SykBMf1s/9xICPu9AEDfa3P09hqG/3ukDfnldCseB/ofwd8JGK35ngZC8H20sddrraFnPmdZBgD4n/7Lzz20j//N//ljE2d0/wxq2jakED+lbdlML1yhUfFpmpQ8hcChf/VcBcHXG61tn6NUQyn6DSklkiQFAPQjg1Gc8u9o+1tSKmhJ9x9HEbL8nkLCGLrrv/ovPvPAPtYrZfMbv/bPAQD/7J/+MwhBv//jN17Dl7/ypwCAN996CwmPWVgOIRU9z9WVk6hWFgAASaLR7/eovYMOPG86VqPRkL7vdZHFCbVdABcuPAIA+LVf/22s+XT91/63/wWj+1sAgEACKQ/yWEj0+DlEEPZ5vm30Q5/h57+watYWmwCAtcVVVMsBtcHRSJIYABDHCYT26HNicGFjja4xY+zKDgCg0SrhzFILAOCaGFFM/VIayPj8kwmJQbsPAOjsdOHwfFxdb6Beq9E4jDX2evQ8oTTOXToFAFhsreGt19+gMRu3bdt+9/e//dA+/tF//esmTugZxWmGKKWxMgCU4M9a2/cGUMgyaluaaCQxfR/DYIIIACACF0LQWE1GKcBzIMsS6PxvUw3Nj0BrgyzL56lBmvLboAEYxX9rkGr6Xihh171vf/vhffy51bI59fhZGqtTKzh5foPuY4C7798DAAzaA7zz5rsAgIVmE6cu0tiWFwK0+LfG7TYGPA9L5SVkkj4bOUA0pmfnyhIOumO6ptaASaj9B1t7UDz3Tp1ew/nHqD2xzpDy/IzjDNeu3qTfGseoVCoAgP/1//rrB/bxP/6X/61xeVp09zsYdKktjvJQqlUBAEtLVbzwIvXpYO8eXv/RFQDAvbu7qDfoXRQCuHP7DgB6JkGNnmFjaQXxhPokpUKlRO1Kk8wuvCc2NrC8cYJ+q9XE1R++DgB45+2rGKWHAIBq00Or1QAAhH6IJKb58pX//c8f+gzvdLWJJgm3U9l1Kv9vDol8rTfIeGs0cYT23j4AoHlyHYdbewCAvRu3ceapRwEAbrWEK2+8CQBYbC1iaWkRAJBpCeUG9p4WZrp2G2Om+40BRDZtQ76fPbZRfmgf/+X//GMD7o8QAiLf22f2SCFm9jNhoGXKHxWkpjXdEQYOt9V3Uxg5AAAMBhqOS/aE645R0bQOOTLFJOM1BmVEDv2tMiGEyddjc3QfZWg93Vf+6A+e/Kl9LBieAgUKFChQoMBHHg9keHZ2dvD662QdO44Dx6HLJ5MJxuPcypZIEj5dmKkVKYQ4wub8YzI7x8FoPIDkpjmOC8ehE7JSyjIVSrmWCREiZ3kACTG1s42xRreZsUANAGHtyg+Mgb3n1CqXmhgf2L/G9DOfKof9vm3bPKiXHHSH9LwSCBiRHzfkzG8I5Ea8MMYySMZkyBK6JjYpwCcGJQVcvl4Jkxv98JRAftQSQqPsMTtUkuAmwGgDP/Dp+3IZCbdge2cPwxGfzJVCZubrY280wsuv/ggA8E9+/nP49Cc/DQDItMb3XvkOAODKFYE4pj6NBkPLJCm5h/GIWIiFhSUE3K5ON8P+fpvGLEmAmVPc7FzI2Tjflege0Glt2O/bJ60N7Lg6EpAZ/4Mx+Mkzyofj8Ucv4/zGaQDAuNdDnEz4/gnihE7RygkwGdJo7h8e4NQKnQbPnmwhjUZ8jcagTydM1yTQmvqOTMLxy3T/OIHLp6/FBQ/C0G9VywEqZXomkzRCENDfGiGxt0193966g+7ggNqmE/hefiJ9OKQwUA6NnCMUct4r0xohrz3KGCTMAgkhYfhdTEyCxDAzIwKgRszJqUefhuA+Xn/j+8hGXfqtRCKT+enUvlrIMoP8yRhtcIS05jmQaQ2leA1wnAcy2x+E1gZjZgtbrQZWl5e4CQLZmNq/lW2juUgsnOMqdHo0njECrJ+mfkUTBxVm+ZTjoXNwyG0bIJnQO6RgEDMTEVZSLJ9YAQCMB0O0t+meu7v7aKzU6W+FRhjScw/9EDqjv11eruG5jz8+V/8uvvAo3vsBMTap1ihX6bReKpVQb1T4fiE8j+799OOPIB3TeLuqbO+TpSmWl6m9saMQNkLq91CjXiOmM41jtNvEGHheGa1FGssoNrj1LrFDh80BkhqxRi/9+r9AltIiNB51oBP6rKTBUV7+wRBKAirfOiXs4v1Bxt/uB4BhhhJC2H1UKg9MqCHNtL0eQmHtxEkaE6Ew6ND77VdqcJgNp3UoVwgMjJ4yLcJuLAbiGP2ahaOU3YfkDMNjpJpuY2I6bkYAAqwAIUXo0XpT9hLIfH2K91Ap0RzvRRGMpnu62QAY0PrRHYyggycBAF7jeSSg566kmdltZ8d5+nmW4fnQfj3oH7/+9a9jc3OTflApa9hoPZUtxMwD1FpD6ykNZpskxLEWhX9MlCslS0UKCGiegePxxNLZjuPC44XbcZypZKMcSDmVb5SYTpAjFCMbPMbAjg9h+nCsjAUDk9kZNZUCYfjFBPZ3t9FstebuY7NkEPGmLoxGyo9dCwnDE2Z2CkkBGG6P1AYw+S6tMEm5zVGGSkD3CZSybYPU9oVTjoLi8QmlQtWf9sv1XACA7ysotpzq7gKGvOhHiYYxc84ZAbz73nUAwCs/eBkbq+sAgB+8/DKuXyNpII5i28cs08jfi+FwiKeffg4A8Mtf+I8wmdCL+o1v/CWuv3cNABn+WZbPkekzU0qiOyAJ7J13r0DsbQMABoMBqvxj2tDGAwCuNFB2LSJTeF58/Lln4As2xhTQ61N7BpMhShV6Dkmk0elQe8KSj8YCGe8LdReHPaahVYbJkPrYm4wh2SBFphCC7m+0QJnf6VKjDMeljSgsG0hBc6EaulB0e8SJgz7fP8EYlYA+TyYG6SSeu49STWUAaQw8lgiF9OHxa5NFMWI+bKXJBELm6xCgXFqfTmw8gsaFX6R2rl+G75KR02nfwta7OwAAx1FWUhTCgG8DYwCHZV8tp9Lx7AFOSSDjzSBfL+bF4089jrBJi3jZDfHGd38MgOancuh3XUfhwgWSmYbDPjJJY3i4c4C7Hm0qk9EAzSZLMp5EHFE7O50RBK8xcTTEuTNkIDUW6xhNaByiaIBOm4zeJOvjUecMAODMuQ1EERlLWWzQalE7T59ZwhNPnZirfwEmqLNRPPIlJM/ZoOwjiWlu3ruzi7ubNAcXwip6A2qvrDQBXhcGvS4iRRtlnMYY7VDbfeFC8Hq9WKki7vFcGA5RXiKDJwg8vPU2rQfe/R00T10AANSf2cBkSP3evHMf3TbNhcZCCQtsjM0FYyBMPi9gDeFZ48IYA8PrbDpzNJZCwM2Ndzld03Waot2mA1arWkFzcZnuM4kx7JAcLTINmFw2MtbAEsZY9wL+9ekn+W9n8CjHwaykle/fWihoe6BNIVVu1Rm4LGMpTOCCxnnv/hX8+OVvAACaqocv/NLzAIBaBmg+uLx/9VW0d0nO7U4MWqfp/iebLyCR9FyEHB9Ze3MIagg3wXxgf/1J/PtphRQoUKBAgQIFCvw7xAMZnh/96Ef2VKO1xmhEVvmHsTWzMouZkUVmqaYjzsD/HsARxNQAAISEYLahFM5Q8UJaB8dMZ8jYmTJJ0qmVLYRlNI2cWsRSSssCQcipk/AHnMvyf5ASliGRAjA5lagVBNOZi806XHd+W3WtUbIn51i4GCZ0//3exDIXR9gGQZIVAOgkRspWc8mvQAs6gcXaIM5yKlrCsfKfRn7CUErCZcdfX0pI5M5u0v6cI1OEuVO08pBW6VQ5nmR2zB8GIQTGY5JdvvFXXwOGRHPHUQzPofYqKZGxA7WUApop4LW1NfxXf/AHAICXXvoFy2ju7Gwiiun0OBqN0OnQ6esIZSolekM6hX71//kKWimdxFcUoNlL0QhAynzuA66Vw8Qx+B3gwoULCFg3vKNG2D0kp+gkSxCUaPziSYISyxxZluUHNIRhiHiTxqfScJDycwiDOpTP83zG8bEaBqjwXPOkQLla4kZPkKS5w7ZBo+zy92UsNYhxbPdTxAmNla8MxqP5T5ihL+Hxu6WlC8PM0tZBD9fu0Cl32J0g5TYgy1Au0XxZai0gcIhNSEYx9m6Q0+fu5h2cOU9t80QKmYy4uxXEzGgJTOAxcxUrCSH4pJplyH38NWAdmyGEfUc1YOf1PDh17jQmPK9uXb2BK6++Q/fJMtSW6TR79pFzWFpcpX4t1sE++Hj77WsY9anvw8EEMiEZa2GjikaF2J793R6aC3wqrqY4fZKkkcxJsHmHnJAPD7ZhDDs8V8poLdL1zz3/OPb2dvk+h3g2vAwAWF6twg/nexd/6YWn0D1H0uuVK7fx5hvEtOzt3Ibj0vsxnkwwmtB83NQCpSoxM+VGE35Iz1MoCaPomVTKAXyPnlWrUkP/OklmJ3yDC2vU7612F6MDeie0swbNzzMzGmCSMUkMhiP63f5ggIMDmlOdzgH2Q3eu/gGA0NoyKgLasj1HRGozlXvygBcAcCAwOqD3YzyO0Gb2ptvroNwladExG4gjavTWnbtYrNH3RmvLbtFP5W4Txs5AY2bcKQRYdqJrjrPeuI5jlY9ZSUsLx94TAkh5HimpERqaO0h28cr3vgoAeOu1l3GwQ8z3z33yMro9ev++9Vd/g6cffwIAUA3LuLFL7N/IZAgGtAY7XgeOSzSyhAeRb7AClqGfZV5nFaYPwwMNnu3t7SNGTBxP6elZoyU3bGaNmQ+TurIss8bABw2fWaPoHwuuVDMRZJiReGZ9kISN6nGUmvle2o3TzPhkZEZD58ZemiLNDSEz610urCEkhISccQyZvkwzNpESyEQuIWkrgc2DpUYFtYrPbQMmHEVx25PY3qeJlmllI8UiAziKPntyCM1RH17JQHm0IEkhoHg3EHCstuwrd+qoIlK4HNXlSgFHzvjk5AqYAhw2rhxPQnOPA0ciitL5OmiM9am4ceN93DtF9Pv6+gn7cnqui4ijxBw1ldE+9uzH8OKLL9Bvhg5aLfIPeOrpZ3DrNm0QnncDgU/jp7PkCH2csp9DPJoALIFWBJCrdwqYylgC8Pl/RKahjzHPheNBaVqskQ1w0O1y1w2adYp+qYQuljny5N6dLYxG1F8tPbgZGS0iTdFcoA3GU2UMB+yLp1K7cDfCAMjyscqI3gYQRQkmHCEDAAH7/EgnQliltpUqLRzsswQTd1Aqz+9rFpR8KLAfhyrj3VtEi7/6+m0c9nIJQdn54jkOFMhgG6QO0j797nC4hVvbVwEAndEEG6dJHvD8FGGFItcirwVX8FweHUD3dvKRttK0MCYPzLJGPwAIKY8YPMc5wI2jPjbv04J+48pNZGwQekGI9h5tBhtnDDKeSwkUYnYwOnv6LHa27wMA9u7tYYefkQpK8Nj3prFYBthf5Py5c8ijM2/f3oSUNIeV8hFn9LweeewSLlyiMWm1AhhBxo/jCvBehqAkMOQDxcNw9/YtXGEjZxy7kLxhJalBnOZj6GHCvlQL1bo1GJNxDOWQpBYoiSU23BqtGs6cOgMAcI2Dd+/dBQAsZTEeYT+fG47CD7bJkOgnQzTYeAy9EKsnKMppebEJnZDvkucIuPwuGi0QjXPZ/uEQEMhy2R5Tn6/MzB5ipr6M0BFMLl0lMQa71IZKQ+L2e7fpGiMQGBork2TkJwSgXK0g4fs4jrIOgbTvTPeSvA165lsAU7cAndl1aB5ITyF3opNiGqUsDJBm9IxMOsSoTb5Snt5ECDJ44iTD7jb1q9eP4Cgy2JbWL6CX0jy9vj1B4tH1H3vyIlJB9xmPtzAZ0xxfrG6iRlMWh8MVGNPIewVl2NdTGGiRS9Bieij5sH7NPwQFChQoUKBAgQL/YeKBDE+73Z466ik1dVzSGoMByQb9ft9eXy6Xj1wzy/bMsjazuWVy/H/l2Kwo1IbaoBSEyr3gP+BUan6K5SiEZWaMMRC5DIQpW2KMsfl5MOPMnGWZpeWMzmyOGG2mTr/ECDHFrw00e4nG0YScieeE4xj4vsv3TJHw37pegFo5jzxRSJhm3jloQyfE/LjZLuIxUeeqP4ZfJWtdOS5yfziRKaQpnZZLtRaUzdkwG58242U/k5tICIp6oc8zUqArOIrs4eDRon4YjVvbRG0fDLoYTagffuBD83RvLS3hhU+8CAD4wi9/ESWWRQAgZCnzEy9+Cq++Sg6lr7z8MkJ2poQWlkCO4thmNTJSYcht2INBjb93tYH15xYCJT65KWhEx2Dp4mQIM6Honm53CGmoLyfWVhH6dBSv1V2c3CCH7ZUlD80FdjZuCJw4QSxHnI1RLdMpy1MKlYAdTPsDCI6acGAsS1AOXYwG7DQphJWNNLSd75lOMBlT20zmouTRPO0KjTSbjxkAAC/0IAzd//79Pq5cpZNetycByadfaYBcPvUcHHCel4PDNkJ26GwtNOHnVLgZYfceUeqhL/HJz30RAHDy2c9gp01zY//Gj3HvCvVRZhncXIJIAMFspdF6ZjkQ06Ae89NzgnwY7t27jcN9YjcqYQURSy+77R6F8QG4e3sH3R6NZyw8lPmdWyoJ6AGvt1qj2uL8LJ4LzXmHSiHgsES8dKKOG+/SGF577y7W1pnJWV6HdGnOn710Fk2O0oqTiQ1WiKII4+6Af8pHlnuoPwRv//CH+N536L2R/iKCGklz9aVzaC4Qe7q3eQt7W/SO7o8P4LGzuXJ9lOv05rhuhjFH+036h1iu0Vxulat47BFy6H76safxxOMUPXZ2dwulNyj/05X+EBlL02sLJZw9Q3O/5CvIjIM3shE8lszK1QCuewz6A1MWRRv9wZQ4Fvm6358M0eF3qK4ceAvUR7/i4841CoyIoggJR15+6pGTmEQsOdZDRH2aC6PxCC5Lfhoz+8TM735wLtrUQOYDkttDIH0JMMHuSBcR7w1p2keaUF+CNILZoujYevAmHjtFrNrVzRCK14DmiWVM9ikCa2HBIGVmxluoIy3TOOxHCiNJ6+s4SxENmTXqvY6zZ+n7WwjQHtP9E3hQ/AJKA2RMXWVG4mE+2g80eE6dOoX3338fAFCr1TDhTmut8eqrr/IApNboWVtbw4svvsidWzhi0OQbmTHmyOf8mjiOrYEUBPOHsv59IcV04ghoGKb1JTBjsClYMmx2QgnMGCczk25mPdRmRjud2eAkhA1DFErCOPnmMfV3MoBNrCbSGU3YZMiSaO4+ZlkMx3XzJkMJmsnlIMX6Ur6Ra0QDpgl7exgM2UdksA3DklaW7MIMWRoJQvQ5WsZ1XRhF32erZ9FaIppZuiUI9tyHnPrYyw9IAGnKkQczMigluzrGIpQbjwK4ev09AICnJJoLRIPW6k1cfuwMAODTn/0sfuWLvwwAuHjpIjyfN1OjoXjTOXP6FC5coOiORx55FLfeI18Lk8SADQ0VcJ08yiJB/kQGGohyilkqTPNlTZ+tkAKTY2yUSiXo9cnwHE0yXL50HgDQapUwHpIcc3alilKJEySOR1AcLdUeDNFsrXA7FxDHLFEqA4+1NxGnNvma62RWIozjMcZDeu/9wLfvZqJTuD5LQtIgX0qiKEXG9/GVA53NP0+V50Fomo+TJELEPlHCkdN0mSaD4fkySUZYbFHI8eryMt7niLytdheCDdQ4iyDytmUG77AR2089IKQFtLe/DcXJETRSGDYmpcis4SfVdLvQWlufBomf3GQehCSObLTryY0zuLdFm3p3cx+uS728c+c+qgNq26nzj6DByfVuXHkDGJKRVioFKC/RhhGNJ7h3mwybWjXAhUfP0PfJGH6VntfG2dMY8iF1dW0NJ87QfCjXAwj2c9tv97F1n2SGqBfbhHE6jhDWcjnhIf0bRABLV9KTCAMypmpLG2guclJBjOALauPmrW1sNGjtWGvWEZbI4B0kY+ywvKkqAZ5/lub7xY11vPl/fxcAYKIEig3b1lIT505yiH9cxUKd7nP5yccwikjyDX0XnkfP7fz5k8BpDmOPYkyiqVT7MBzxk8GHhUtTpCEAyDhGNqB3yJQrGGmav53DLWycpOdgUo3DAUtynQMMevScu3GGgCWb1A1QqU+fw0/6DH2wnUf+71jzVCmFhBNbJmmGjEP4HXcIBTJ4FssS3ZjkxdbiEBvrNJ5XbvdQdum9b2yECFaojydP8II4AAAgAElEQVRaDiQ/31NrC/BDlqZlDCmn0ZB5WoW9u/ex3qAEladCjUqJ2rOtQwwN70Nowc2NH50VklaBAgUKFChQoMADGZ7f+I3fwB/90R8BAHq93hHnvFdeeQUASVrlMlni3//+9/Haa68BAH77t38bq6tEZ85axB/Mz5Of6Eejkb3mH5PhgcmmTA6mERcUXTWTMHCGQZj545lP088asIn4pBHW0tYzDm4Q5kh0hz0jSIFZ97ncsVkLYfODxMLgGH6SSNMETpZHgU2TVIlMwsmlt2gE3SXq3xy8C8Of40EbOqbTSZbBOuuN46k0FoQVpJKdRwd9CE0p0iv1VZRqnC9oxmPu6HyY5raZZfyEmEZSHRez0tl4QqN58dJFvPQLXwAAfOFXvoALl4gWdz0FISwfh/yU5ngSqyskAVy6+ChGnCNj0O8gYYfSMDQwnNROycw6kifGYMTPdjATUkA5jei3UikQHaN/g34b4wkxMyvrq/BL9M4ZDGDYcVcKDYdPj4EH9EbskJ4mWCmTnLBYW8AgI+fYdNKF9KgvQWAsw+C4HryATlAHeyMkGTE5oVuC4Fwxk0GKdEB/u9gsIePIKUemcJgL96SLTM4nhQBAWArhOfRby+sxqjcoN0d73AcyZv60Rv6GlAIPn/kE5fW4fPkyvsrP/eb9TYyYAU0krMTqKhfdfTqRNneqCDmyLO3cQSBYehOYJv4UBoL1SMdVMMiTcU4TEgrkDPB8aC40YDiCrz8e4/4+MTypnMrdjeYiVrksSKPRQnufmL3Ne7soMQPtuhJVZrEODzq49R4xM81mA9InZ+97+20srZDE+cRTT2J/m5jAcRLDK9Fz2dnbwakOST7aKPT7NG6d7S4aZXoWFy6cg3Dny/v17FOP46nH6P2fZB72SL3DRIdYaHIizIV1VC/R99dMH48vElN1biFAyOyzqi4hW3oaAND2BE5fpmizwX4fd64Rg9sOe1hep/65oYLH7X3pk49DcNBFUKnhu6/Q2AQu8PTj9MOHWxJbd2kuZFmKcmVprv5Z/HRSZ/rPxgDMRPrGoM553Eb9EfY4kaATKqycPwcA8CBRHTGT3hmhfZfW32G3D82M4OknnrTuFzrL8GHO8rM54HL5XRxT0vIcBwPOSdY9PESVx/Zg7zb2NmmPf+bsOqQh5scIg2FE71DgZXjhcWZ1Vis4z8k1lWNw74AmxC/+zDPIEnpGh3t7CDxqW88IZDG1+Z0rN1EPyIZYX+sjrBB7vbywjN2EnnucOHDy5Ifmg3nufhIPNHieeuopPPccJWXb3d3FrVu3AJD/SR6x1ev14HMEy9ramvXt+dKXvoTf+Z3fAQA0m80jD+GnRXhFUWTrtfxjwmQZdJ452ZgpDWimPiRSSMCGVE9DUj84260xJKZGjgGg8yR+gNW6FMSR66fPyRwxqvIyS0JO3zF1xBh7OLQWiKNcNjK2Xk5qJPKkgpNuG+0t0k4H+/exv08a+DiJ4ORe8FGC+1v0/WAUIeQMpka6GHBiQyOvYdinF+WRJ19AWK5yR3z7rI+Om/nARjIz5scw6o4Y0vw8Xc+H79Oc+sSnPo1f/NznAQAnTq7Dsz5NGmYmYVh+m9lowmgUIWZNPU0SNOpE07uRi/3DPf5LbZubGmCQt0FIaI6mcY1BXp4rdhxEeYrpOTAcDFDiMPBaZRFQ1K9O10OlRr4c9269h8UK3dRrhBhxvzyvir1tei9940LKXBo1NnP2ZGIg+J5bOxP0hmTgSeGi0SAafRSnAC9M9cUVvHedNowkGqFR4yRr8RjDPv3tZBxBH4NE9jwXLkdlnNho4dmnaXOKJtextcOSgAZKrMKeObWGnT2SchpLNfzyL34SAPC3f/s9XLnFG8bIILaprhWWLz8LAPjYL/w8evcpdD3aGyLNE7opz6Zb0JmZJhNVwoaoi0TYOnrZTITgPCiVQvQ9Miq290fQfDJaaLUQBLSpnDx3DmWuO5UkmU2umCoHbU7M6Y4SLLCPhVAhqk3aYNxSBUbWuc0ehkO6KB3cx4R9QcJGDWWWyUb9Lq5fo+cYhiVU2a/i6tYt3OhRpM3CYgPv3SS58D974T9/YP9+9YtfsBnY0xSIYnZZSFIknLQ06jTw7vdIMr87GmLzBm2C+8kEJxeo3+c31lHjOmxBGGB3h57z9159D++/cwMA8ORzy3DZ585vVBGwP1q5sYB6lX1CohgQuVxiUGNDL/IAx9D9fc/B6lL9gf06PoTN/H0w6WGfJaqtvUO72oy2DtDj7z1IlFn73tvtwGGZfRQnSPmQ1Iwj6xsKfLiUOvWRNdB5gkSTQR1Dz/EcD+USjW0aeRAcspf0YyQdWkvuvnMV4NqDlYvLKFVpP/j48xcgAzqQVfwR6q5j+y75sLUQVFBt0bNecGPsbHJahZ37eW5FJJMxEpZHv//mPWiX1trzTydYY1eFgR5hxIuGgSwkrQIFChQoUKBAgQcyPN/97netLPV7v/d7+NM/pcrTf/7nf25TkO/v79tcPYPBAM888wwAYGtrC1/5ylcAAL/1W79l7ymlnDnpT63RNE3huvMnf/p3hUmSHMn/IzmNu5DCntwcCFsiwQjHxv27RmE284Lm02Asp2m5pUlstexYapSY5pRGIRV5vhoFg7zvLlRu4hpt5RAtBFKrkwHH0bTSxCDiRFZSzeRsUAKSc7v0etvoHNJJr9fZx/X3b9Ef+yEWW0RJDjojHHS4Fk2S4R4nv2sPIkxGXJfGGGh2+jx5+gIcdYa6YjJbquNoxJ6GzmsgGQOV5ztyXHjufHKImIl+k0pZGTBNNS5cpGrmL730C3jyKfpsZtgy+wUAA22jGpRysMDMxu7uNrodkhVqFd86PqZwjtRdyp+IFsAwj94TwuYfqSqJ0+xkezAYIYrnp3jOnb6MvX3Kb5LoQ5RYclpfu4BqhSSJd7ohrt8iuvnSQgPNvChyZrA5Ijmje+BheY3GdTCO0e7RNXfuanS75Ix47d1N5BVElpeXoFxOcNdSeOQ8rQdCG3zjLymg4XO/eAYhl8jeP9hFNubq7ZMUaTo/je4oZd8b3w9w7swZas/VXdzZznOASQh+R6slFz2WqJJBC6ceIQdHkUaYcCCFAweG51etWsfyic8CACoLL2G1SvmaDu7eQZvHNpAJTMTP1zi2zp6RAoqd1ZXQthYbpISjHriMHkG9VsPhIb0rQUmgVqP+KifAxlnqb7lZxoQdN0fdHkJmIx/92DMYcuBInI7hcN4WVS7hzOMkOZVKwbQemSOheI1xTIYNlmh7yQSDbp7TSePOe/QeX7hwFvsjYuc6gwk0+5t/+7uvozuYL0+NIxT45+G4CoGTS/IaGTuw7/UN/vob5Hh87a27SFk6ubS+CJfzCZnNTag7t6gtnSF2ucbe67sRujynVK2KgJ14WydOosrSdKtagcuyqsEAviK2z1MOWnViHlZKl7Bcpc8HnS4yzF8CJUMGk+ca+4BjcP6FlAoRO++/c+N9VFk+LVUqaI+IIUmNoXIRAEIpEeZrfRajFBLTFlPBI+qv41p3BIqC5p+l+hbUAnO0UTZ/jphK6/PAU45NVutKY4MGVhYWcIr1yKbqY/tGHsHpQQiaj5PhEIdbxMj5Th9LXE8tygCXS1FEyRCI6fPGygLOnSbJ8t133oHmYIVqxYFXoms2b/Uw6NB6GUUJHn2K7llZXkHsEBOlhYD6+9TS2tjYwBNPUDbEs2fP4vd///cBAI1GA3/yJ38CgELXc6NoMplgd3fXXv/tb38bAHDp0iV8/OMft9dc41C80WiEWo0avrq6av150jS1EsU/eKi6mEYNSSmmEwRTLT8z2tbd0QI2dFMjnma+nIESEukkj2ASCOKppJUbOUPHg5MnqjUSmc7rlCnYQGujLYWpDZBaqjixbZgHic7s5iqUQL6KSw0oXtWiQQ9jliKG4xGCUon7KHG4T8+0Wqmg3CTqt7d9iC5LV/v7A0u7Vis+7twi+nvQ3bWyFCXEmr6suQGplGPlAW00eArA8wUcZ75nbwzVHwKAcrmEMOCBNQrnL1J0x8lTJ8CRj8hmkkTqTNvoQ9d14PBDSRONUl5IMfBwggsv1qu+TVpYNQYZ3+lgaxdxHj2EDH1OFhfpaX2oc+sNrK6ScXL1rRvI5rdZsbK8jBu3KQQ06t/D6jLNr3pDIEvphX/2M5/ExiO0ie9u/QB9DgcNVQUNTk4YTWLc36K/3T6YYGuLnlu7EyJJqF/bey6SjAyGWjNA2mdjNk3xzXcpymn3IMMGh7qvLK6i2yaZodsdwuGBzlJtIy7mgeu6tvaPVB4GHLXS6/dsnSnoFA6/Q4GMsbZBG8lSReLaWxyB1evC5fdDZRGqnHTz/PoCnJQW4lvvfwfNgP2yohFSDslXhg44AGCEtlIzFRKlfnm+O5NNcrqpzIPRZIwx1xc72O9gwgnv1k4uY3Wd5phfDXD/Nhly/eEIfon6WK6W4RoOzY0mU7c4JeGVOQxf6ml0VTJBrUHr69n1k+h06Tle/+GPofnAeuHMIkp16tew3UGPvy9Xy5hwHSyoAJ4/n3GuEByVou16KgFNzzAaSXQOSV6bZMZmk5flEvr8DkX7A5vOod+fIGIfsfYkw5ivuXFzC2+/RdGTj4UltNapbpinqpDIfdNKqFfJT8r1fJRCMpCWFxdwdo38+IwxOGjvztU/gA0e62mp7FpixNQ3UULbrNVf+fKX8XM/T7XdTq+fwlVOaPoLn/0nOMOFUL0kQ8x7xp3bNwGPjLEzYc1GT8Jx0eXMzKVSaaam42yVqZ++L8RxAvcYUa+u49goM+gUOReRyQEcwcVsx9uoVlgyzQa4dZOe6c52ioiN21IpgcuGkF8K4Qf02TUuJB9EHKGxwG4CYRAg4uz1cdxBpUxr84sfW8PmbS6uu9/Ge/duAQBONS7ALdP7oc3DIyYLSatAgQIFChQo8JHHAxmePKcOQKfyPHrqN3/zN7HCsfV/9md/Zh2YFxcXMebcLEmS4OLFiwCAb37zm5b5OTw8tEyO67p4/fXXAQCf+tSnLJt04sQJ6wj9Dw6tp/LQEetQAlleP0Qi9zY2oDpC+SXWZhQCLh9Jupu3cefWTb7EYG+HHH2zfhcvfOpTAIBrt3YwiIkhWds4idU1Op2E5QYmaV7bS81UQJlW6IXOpskM50CqU+sIPY4ie09XSWiO5Om1O5hwnZnxZILlpUX797kzuYGB4+WSkwcnr10UZejxqbXeWEDAuWk6+zvoHlLEiF9vIQzzshRyejqRU4lNKcBx8yg5M42WeQi0NqhwpODq8jI6bZJg1tbW8OSTT1EfquVp/RUYdkQHtnd38ObrbwMAnnjyCdSZIn/5ez/EvXv03C5fvohAEQ19/94NfPwFei8arTV85++Idenv9wBDJxNjgGSm9IDHJ9hYKry/S23rRfFP5CN6EO7cfgMpV7s2SYzDHYpU6R7uotIgFmvt9OMwLC1N0hhXrhHD8/YP3sBpzlGyuuLiRz8i5/Sl1UsQDvVXCokw5NIYpRA7O/TcJBIsBtTORWg0VkmSe/7TZ7C2RGOe6V24eT6U1rJlBB1PIQiqc/cRmDqfp1lma/fVqlWs8LsyHozRqtL78cTlc3j0MkW5hOWSrdtUKQUIeB4NhkM8/yRF+/zcz7+I77z6PQDA9rt/hx1OijgctCFFnlvJg2JpRKjMMpcQ0krclGSUvtbIjsXw7HYO4ZTpfQrCGGGVxu3MuQ088iitl/vdjmUXW4uLUCxpJSaz8pxREiYvTSNT1JjB8xwHJW7nUr2GJjvjXn/3Fr70Z1S1ulpposzRheLsIpos7WRRDI9ZrDOnlvAa1/mK4hRhMN96LKCmBI/BtFTPTLCHhITPjqaBUhiwY/NOp48spe99GOSJytJEIcqrwQ8iJMyu3Lz6Jt4s0zVLzQBr6yf4/sq+30pOA0KEULZ6uxSuTV4HaLhy/nlqjJlJLDutka4pKRMAIEpiGJbnG6UKki2OgA0CPMZrq+i2sTtkJ96FFrwKrY+VhQbGrArEWYqYo7RSkyAmUvJI3joDgwY78SqlZvaxGebHHCdGC3B9D/USjUna24ZKuSSHu4lBh+ZFKQCCCktyZR99jjgcdVO01kii6vcPcf8+rVtr50oQvO5X3RL8PEo1EQjZYb9ereEwojGZRGN0O7SWLG+EWObgjFP9Cra4TNAoaWPB47VWT/eSD8MDDZ7ZMGGllPW9cRwHn/88RbxsbGzgq1+lQmGj0chePxqNrNS1s7ODr3/96wDIt+fECZqYrutaw6bb7eLLX/4yAOCFF17AqVOn7P3/IWUtYTLI/KXU2TSzaiYhZO79rQHJvjdIpxmGjQPB6qbWGbb2aVJ3DraguF+lSg3vcyHD7ruvI37xMfocHaK9Qw9zMjpEf5d09NNnzqGxchoAEKXAJOaihpmGX6bFS6cJFaGaE3EUI+FIoSiJEKc57SoRM5Xb77URcVSE5wfWQG232/gUG2lCCJR58fVXWqhwpIcwBnvsuX/yxDpSDq+8ff06llap0N/FZ19AmetUAcbWJjJG242fCsHlFPjxEmXlC/UnnnsRP/zhDwAA1VIdzz1HUmq9UbPRWONRH6MBGXqdg3288/ZbAIDV5VUbYfbVr/xrLC6SZHPu3FmsLXFbsss4e5ayu9663UUU8XyPYhtGL8201o4Rxi5AN/eGR+qVHWcF2t+9gzqP/XCi0Dskn5ywHMNwSoDkjkLCdP9w3EaTM/HC9HB4wMUU4wy9DmeWlinKDaKhHSlRDvON0kfap3uu1ALILv1WSWc4zwkPFy4vYtIng0qlgOREYJ3uCDEXa5OBj3ROoxUgSTMPIY9HEWKWV05vnMBKi6XXfhl1LmS5sb6M5hIZcm6pgk98htaVlROX8G++S3PgsNPFf/KrvwIAeOqZS5hwX175/vcQc5ROKKSViw2m5x/HTGtmKekiP9zEcTJNmSD0scLSlR9gyKHfXrWCUycpvPaFF59DymvJ/u6BPUeFZR9xnvrA8ZCwLOT6ZSzxxpkkQ8S8AawsLKHJBWTPrC6hze/iezc34Qd8cDEKhxwevHV/F2XeMMKwYiNW7929inhIh9dKuYZRdzhX/zR2jsxrY8dGYcIJTG/dfAMDjgL0AxftARs87QEG7P9Vch2UOLElUoW9Ln2vBWzknInHyLq0TqV7N5F0SAZMqz7yVJWxjjCK6JAR6AqgaQwyo5HOFME8jjFwtCYi4HEUEhWYpb4MRj1ceZ3W/cYoxbkx19x76y2MerRW3rtzB8vnyGAvV8qoLpM00/JOojOkOfL+3R0ojj7zXdeulf1+3yb8rdVraPLaemTNFFN1UTkOxEw06sOg3BFMRHvSzbf/GlWWljbWPPS4kHJteRnbm5xWwSRocLHfsObizg7Nl/EQ4Lqv0K0y6pwxezAcouJQe1yl4HJdvlKlhn2WAicTjR/8iMZw4f59nFmlsVpZW8apBtkWuupSVn5QLbNC0ipQoECBAgUK/P8eD2R4ZmsbfVhJiKefftoyNt/61rfw1lt0Ws5mEiPV63UrVw0GA7zzDlOlUYTPfpaiJmYpuq997WuWzv7d3/1d+7fHOfHPiyxNkGS5F7yA5IRVRjtWupIScDgPgTAplMkjH2CrhI/GY0SHJBVUnQy3WA5R6xtYYov+109fxt49OmFuvvu+PT16QmCbawJ1tzaxdpocK09ffBRbd+g+qfRx+uKTAACdRhBz1rahRuNIZFzKeUbiSQzNlOp42MOY06u7nov9fZI0jNH2JOH7nq0C73sB1lbJIdJxXZQ2ySoXQiD3cEuiMd57m6KG7m5v47lPElN0+uxZm2fCCHIcBkhdjPJS7seIKlACdr6sra3hxeep+vn7N+9geYlOTXlSPQDY2tzEt//mrwEAzz7zLBabRAcLneF9dqj/0SvfxcYGyYzjzkk06jT3n3/u49jeJnbotbeu4nBAJ+XuZIAsL/0hgFwC1fYT0B9N60pp8XD6dRZSO1DMwI17I8sser6DepXaVqlKKI8kpz2MMdml5znqjXF6lSRoR6Y4fZKTiPUPEUf0rCqVCla5OvVapQ41oHm66KWIA070V3dRbtD11YqHkOWww7tjbN2lk95h5xDLLKNok+GwM6219zAYpa2M6QAo88ltggiGWYiF1RY2Fqn958+fRvMksaG9VEE51P6n1s/j0Y+RjBWNxlhiet0JK3jpVylitLV+Fj/4u7+hcTjYxTCheTfWchr9YmJIpuCFmElqJox9D6SS1gF/HnQ2D3DjBo1VpF1snKST6mDQwY07xBDvH3TApAH8QMHnCE7pCCxziRClQiws0LMejjvY4YimwJMoc66ZXq+N165QAEGnn+DCRYquufbO+9jfI9ajvV/CcJGeY6eTIE6oX2kygcNrjGMMDtrdufrX7d+z5TiEVHBdYv5cp4R+j/r97tUriPJIviRGUKFrlONb5tpAIUlytWCMPrfL8x14ueIPYJ9llM1b17G+Q6Vg5GIpr26BJItx4hTdX4ouuofUDz1xoVh6z9IYCb+bi61TD+1jprWdC1oY3L5O0YpSKeztEuv58ssv451rtM9dNgonxsTYxGKME7xnTAZj9G9SrqPDSgN+hd6bTGYY8buulaBAE1DiWpf34GymVmWlUj1Sw9LCTJkrrfWswPVwJPdw5+afAwB2Nv8G7/F7/PJYoNul/Unpt5Fx/rXPf+5jSJaIWdzpjLDdpv62OwNUqzS/Vp99HN/lemdX3/wOTp8kyezyxdMo+dR3r9xAwk7O41RivE9r7eFggN42rfHL20uonaa+rNQ13NwNQgMPq784fzzlDIQQ1gdDa43FRaJWv/jFL1o/jddeew2nT9Ni9Oabb9prnn/+eVuHa3d312Zmfv31160Etr29bTfot99+G5cvX6YOSfmh2SX/bZEODzDkMMEwdCA406frhNAc9um5Dursx7JQLkEozqDpabi8MkVjjfUGSSBJnKCuuCBeKHD58z8DAFhMEiguBPjJsIrRgB5gksVY4mg1xxgYn5MB9jexfY8WrESUsHaKXuhhbKCcdO4+uo47TQyaCmheVJI4QsovFoUL8gIzntjxbzQadsx7/T4iXoTgULQYQD5C3T5FD+zstuFymO7qUoqMjcPu++/hrddJZvjEp38Glx6jZ7q8fhJhhRMYGgnNxliWUQbUeaCkwIh9xza37uOJS3TvQX+I0J9m7c4N5rXVdbz0EkVNlEsBHPbfWFpaxDe//hcAgLu3rmP7HvlhHWydw8WLJEVG0XvYYmPw/t4+Djq04GZJDD+XRTQQ51F9UgAzfgw2KRjMsRIrLi+chGYJaS+9i4z9GFIzRLtN7dQ6QrN5BgDgS4HdbTKW48k+Qo8jgFyBMkctlRsNHBzQHGxVPZw7SXM86k/Q5hygZtDGygotTLIuUGrQ33oQyLju1aCfIk0cHtvTECA6ezAeYhzNv8gKuMgdLnxXocH1kLoHh+hwputxMkHLowOWhoHDCc58UYL085pJPhSvN8imaRKgApR9es9e/PQXEHItrW/+1VcxOWSDPY6hdZ46YvpOJFlik4BSCoLcH0VAzK8UYNwZQXNk1jjNcO1d8sVyXAXOKYgg9G2ySj8IqWAqgCiZoNum92x9tYoq+/lAT7DcpH5129sIXXrWP7xyFW/fIMNVqgrucxHVG7fvoM6HucVWAwGnONjfamPM0ks1dFFj+WE8nkDNKQYIZ5o8VggJw5tXBgXFmaFPnFhFyFE/quLjCV4L9tt9jDtkkDhJjFGf1uXOYGAT0ClHIODCp77rIeGQ5KS6hDLX8Ct5ApmNng3QKNH6kk0iRFzk1lEZfG6P9F0MzPzrqRBTcchojW/9JflG7W1tY8DFXdvtDnoxRzc2FpH1qF+ZHMMZ09wZ3B/hNk+erLqAmLdjRxlkig8i0ofmvjsukLDMq7Wx8laWJtYAnzV4DMQ0ojjLgGNE9oqoj+4OkRci3oHI8ghqFyHvYdVSDT7/XKvZxEKN5lFsfIyZIBhFBuUaJ8KUGe7fJ2Pph69dw6279L5evb4LlUf5lgJoh77f70+guMDrguOj8v+y92axll3nmdi31trTmc+5c823BhaLLE4iKVESTcmW0pZseYpjo40YDaMTOA8B+iFAECBBgiBInvLqh35ywwHSegisuN0NWZ7UkmWKJiVRpMgiWXPdqlt153vuPeM+e1hr5eH/9zqXssQ6laidBr1/gapTt87de83rH7+vSfM7GCfYuE5Voe0LGVqMg5Bp+1AbuQxplVJKKaWUUkopH3t5qIfnJ3FgHRUhhPMGRFGET32Kwgn379/HIWMGnD17Fu+wK+v8+fM4eZJczAcHBw7AME1T3L5NWpuUEgHTy7/66qsOw+fcuXMf4lr6Wchw8z3Hu5JPlHMZwvMRsHcg7hkMBXlvLl9+EZbbfNDvOeyVeHCIwJJbtDnfgSosEgU05sn6sho4xuGe+RPHHdS3UQIhcwiF8KDZlf+9t99EJJj3SGtM+mSh6dwAZnaL5GgI0kK4sIGx1lmSOstg7BQGvkgar1QqGDBdyPr6OpYZ6yKqNbG7zxw/u3tINGn09XYdEScb5sixyxQVeQZw/jVe/eYA7/6IuNgWjp3E85/5AgDg8UuXYRgPRed2Zg+PABwqxv376/i1X/wSAKB/0MeA1+DK6RU3BrVGCzW2UqBj1NmVPDgcYu02VfrodIJkRH3a2dnF089SUuDqhWcxAbmq721voRky0/OFc8gYZn1raw8pW2hjYR1InbFTLjWLh1sjR6VTraJLj4e1AmnBZDzxEdTo8/beA0jNnFntVUiPrPsgqmPC2BZjK3D7AXmoFlZaqHK1zPG5FkKfvH1397cwKo6GShvsfERlxUe1TdbXYbcLmxfjGUFrrjyqBtjbI2/MQX+MgBMZZxGdaLcXITRqFfJELs7XsFRnDBwpUG2wJypLkebMzF6rIwinBQRZQT/HPCAAACAASURBVFEvQ0iuJoRQBZMKPL+Dp1+kcPpev4+//Zs/o/HUY4f5QphYU5oJ56mTEkIXSezmCCbLw8X6AeocQn2w3YUfFSGfAAX2qBZAjxnqrRCocvXOcDTBwTaFzR87seqqsXYPuvA4LJylFjdv0znxzVevoDJHSd21isH7zCY/Gsc4xp66PBsjZq+HH0QYDhkbxQ8QMy5M96AHz5+N37BRWYXnOAyOZi9r+I7B/Fm0l8krsnBsBZ94+ecAALdurWNvg/jTWnXfeXj+7tvfgx4U1CIGEVeKRpUAn3yZwuSf+9JXcOo0AYsKdRRZVMGCQ8m+AprTqtfiS8JapMlsITsAGE1iXhtAb28XSY9+t7+xiYj7frzRBHq8lutVvNdjsMHRAIarfw+TBHmH9kdnEqN3hzy1vjboLDO/Wb0B5dFdWK1Usb1De7rRbEIz2Gs6HEGyR1Mp5Spyc2ucV0dBuGTvWUTkApY9kQvNRTSYu280SZDJosq6hpDP6FolQztgqo65KrZ2KIG87gNPnKPEfBvfRsp0JSaZIBmR5+3eOMZgxIURlQCNGq2TUb9/hDdvgNAn4Mzdg034S3Q/faE5B08VoIv6oWkv/69CWj8uR3N7lpZooj71qU85gtFnn30WVQayG41GTpk5ys9VqVSQs/LgeZ4rad/Y2MBXv/pVAIT2PD9PORlHuY5+nJ/rUeSHb/3Agc0p5cFjgLMwihBxpVVUaWPtLsVpI2+Id96hyfzmt19HziWDz5xZwRdfpLBH6vkAZ53rYR/Lu4wK2Wlja4sOI6NzGK5amDt9Fmtd2pTXbt3H6WN0SC0qCcsx6uNnH8Mql2DO9wcYJtN8kIdJbjKHeGu1B8OftRlCM7cJrCkoZxCPErSYJ0sFPu7eYxC0OIXXZdAprbHFeQBJonHmNIUvK9XQVW91d3dx+ya57Ld2DpFxSGC310VylTZHZhW0okv0zNkLKDA9hfAcQOLDRBwpE7567Rr6rOR88ec/PwXb0nDVeFab6caQysXO79y5hztrd/n91imAg+EIki/TT778Iha5xLtS8/DKC5QrouJDfOPffA0AcKC6OH2Wwo8HeYbb9+gg+zCD2KNVhhg9QshVWguLy7ADDr2GPiyHT9NcI+QKHaEstpm5sVJrY+U4kyPKGq4/oD7OLy7i4knar6cWQqSGvv83r62hN6I9emL1AqygC7FRr2PCiN3D4cAlJ2kBRIUSkkzgBXRBK5W4PIxZRGICqwvFXCFhdN3xYIzVY+TOXllZRMjryw8DmIQRlT1gMuCy2FQi4iqOsB5herFNS8itlPAqNO8v//wvuYP1je/8ObpchZIZQBe8WsYcyTUz4DMWSkqoR6hEu93tIWeAx2q9ijZX1/RHsQO0lIF0EBTVWh0VHts7a2s4xRdbK/KxxnsryzOMmCdre7uLDc57yFUNEXPJ3VpbQ58ViDlfYb5CR388GmBzg9sfNCA4PJDoDDGHu5M8c9VTDxMC2WT+JoYbBQCC6KR1Kj2N5hydj5eevQzFkAZ5ptFZoPP9uU9cgmVk9rXrazjcoz1tAwmPz/2oFmJhhdZ1c24ODlnU2iN7TdFZAjCvW1HKrd0GFEICj1Bp99d/8U0A1ObRxiYOOQ+ysdBBwHdYDonDCc3JRqBR5Yo6lbbQ69P3AyuhWnQv5q0GMs536h/0HNSLTBP4BQBj98DlhgbBHra26S5RnodVrqptNJuYsMLu+z7qnGJy2B9CsfLzwmPLD+2jEAYVj/aHF+WY8F7M4kPkHt09w0GMFivdIq1g0C2MqgZybn+SaWg2NCfjER48IIV25cQxvPQypRXs98a4e48Mze3N++AiRmgROiP1YC/G5E1S2FWoUbV0P/VijUW+s63VDz1Uy5BWKaWUUkoppZTysZefiYenkKNJmY899pgDJyy0VQDY3993UP4vvfSSw+EZDAYYjTjZcTjEAScp+r6P1157DQC5637nd34HAHDmzJmfSdVWJQoB63P7PYefMoozjBnsqpr58NdIA333vXfxF/epnftGQaTUlyuHe/B3SXttNzponSPY8t3rt3EzY+1YaMev4ikFyVbcsPImfrBB1vVGL8Y8VzC9vLyAXsJstCdO4cFdsszz/S2HlzGLULUETbUGIBn2G3YyBTKzxiW+9XsDbG4xHHsYOPC1sNbAAYdttrtdWM6ID4IKNHu6Bv0UBwf0ncEgRmuZXI+tExfhc4iwEkUOoNKPqnjhxRcBUDVGwTmu/MCxtD+0fxDOddvt7uPttygp/udf/hzqXAEyOjxAWCer0vN9iKKq4cgSStLccRU1Wm3oQ+5HHGP3kMNDVeD5F6hqcGWpA8OVbT/6u28hqNG7Lj3/LJ77uf8EALDTO8Tm/0WWWMJJ6q7dj+CUtHbsjNDW3CKGltZgfa6OClMD7PV6GGuG7D94gK0tCl2Nxxa1Dllrq2cv4ke3qD2VmoflYzQmjXqGexsM5pVGeO8mJReePd/EE6vkvctzH8mE5nmSjlDlsW1FDQhBbTjYP8CE59bzazB2dk8kMIFkG8xXoQP+3FzfQ8Qh33OPX8LCMlnLxubYustWnwQqNfp5beEMKlFRxWhRxLGEsI7qwErPrbVKfQ6f/8Iv03eyFP/+W39O30kmsEUCs6DwUvHIKfaodNhBs0hlsYEqaB/I3EOTIfV3dnbQZk9Op1LDkL0kGhY15iKa73RwbIlZpQ92scEhZV/58Nm7Ua3XkW7Rz+uNGg72aR+vrd+H5DNjTilUC++GVo5RXcc9PPn0E/Sd+aYraNjZ7GI0njVsl38oN7ZwflkBl+htM0ByInkYVvDmGz8AAIz6MZ77BHnJT545g+0HhAPTqFdx7jytwcsvvYD33iZsL08CKyfYkxcpWObDskLDhR+RwyLmz1MRsEc2oPdId8m3v/23LvRuJqkDkH3ysbMYdune6vb6aLI3rtOew9JpSuPY3tp2oHxzc21cf0Ahyn/z+usYcGJwmqTIi3C+EBBFsrzWSJiqRWsNzfQ1udZQ33mVvq4k8oIDSwgsNsh7fpBneOEZqvL9r371cw/tY63t49QZ8lLvbUt0znAUZLKKnNemqrSBPq210Oui26O1tjPWeOc63VX3tgf44QcUIQiUhwMOmX7hV34Rba5QzPe7+MQypa2s3ZrHg/t8z01idDmikIsq5o8TDs/Tn3gMV7fI49cfT1CQvpk0dvhuQPMn9utnqvAA05yfarWKGqPf5nnu0JWzLHOgdmma4uJFKpW8c+eOq/xSSrmyaCGE+93vfve76HG89Hd/93fx9NNcpm1md5v/uOSjkUNZDaMKtC5KKiUkL7Sst4tbe0y+eNjFJKSF/NjqKsDKjDfaQ8rKTzIYoM+b1dcasas26LucpTzTsOxuHFVjSJ6KC2dO4HCLxufqndvoLNKCXb97C9s9Wiwvv/Qyrr39dzP3UckAUa1ANpbwJrRZkzTEmDfNJEmg+XQKq1VMOD8jzTN4HII0AOIiVyDPEXAoMElGyDiHRwRVrJxcBQB89p98CosrlPNTr9dQq3IegJ3yainPh2JkqsEodgSjWW6gxGxksmEokSZTgMbvvUnoxzduXcenORQyHvQx5DyWWqOJGh8EU0IioNFsYPUMAestzi9jZ5Pm8OadO7h/nzbt9evX8fmXXwEAjA66+MEbxBf3xmvfhmCF6oXPfg4Xn34BANDZ3cI8H3zrgzVHjiqMfZSiCWTpyCmYnu9hsahIabUQNjh3RfkYHNL6alQrOHmGwgPf/uAdvPkOrbWDocUa89AoZfBzL6wCAB7s3kB3RIfIf/rbn0HrVcpT2t5fx8GQwgZqWINFkT9h0WwX+y6G5lwa6WWOeDSsViEe5YQxGj5XzvhKYZXzyJIh8P5VCt88/uTI8Zp19zawfY8ujE57AUun6TxQjUW4hBgoGAcwZ6eluUaTAgQKb/hVOiBf/PkvY4dDWj/8/t8iy4o8MgPBe1RY6Sq2DID8ERTX5184j711RtvejR0xaL8/cNxR9VqICYdGsp0dVDmHo9OZwx6fMf39A2yyQpsMhvj1L1AlaFwJ8IMfEHr9RvcBDsdFJWiOgkvWwCBjJW000hhMaN5PnjuBTzxHFVOrZ47jr/7q2/TMSYowmFZffaTYBHBUk1MyWCBDHNM5eO/2bWdpvH/lKu7fpjDNxcfP4dLTlIezdOIEDnaof3NzDTzzEpFSP/vKZ9Hn/CZkEyzy/q7WKhAo+L70VNMSKQQTiU7rJQFY4cLnsCmsPZytfwDieIwsYURzQwjYAHA4GiHiu2pn2MfyaTJ6o84S3nlA98eDzW002lxiPx7jLiMw39s/wDgvSGslwPMfKOVyGXWeOwTuArEYAELPw5gNtSRNUSSHWq2RG+rXRAicv/DYzH1M8wxZwGXmfYF8SGdhRVcguRKvIQz6fR63bIKVDikwleUm/ux1gvfY2OnC98auPZeepXlcXDmLfp8MyqTfR8bwHsuLLeQZhdl3H9x3RuKlyy/ipVc+AwAYpQPHDbi39g5uJVS92llcQmwK4+PYT+xXGdIqpZRSSimllFI+9vIz9/D8pORh3/ddZVa1WnVeoH6/jywrKiIMXn/99b/3nfF47H5Xa4233yZG5P39ffz+7/8+AEqQLirFHpmGIh45gyRLey7pyRjzIY9TvU0WchquAJy9fnq5CZ+/c/vKFtIqDeeulyEakubrBwJmiYG15iNE3E4hFba67DLuD7G8Qq7tJy+dxbuMzVDxOmix18APDGyNrEGzuIpMvDpzF60VznsbhAI1xskJfemSy/JcOw9PVK0BXGU0HA0x5gRpJQLmFSNPivSm+DIeJ2mfuXAZr3zxlwAAJ1YvQTLrr68sQvampFnmuG48TyLNyOUcVmoYMSdXkubIJrO50U8cX8St+2Q155nGlRsUfvy777+BF7hqsNlsImGrCVo7igccsZQqUYjFefJmHFs+jdVTZKElWeYSHw8P+i75edw/xM49qiys1qo4/TiFA556/rNQHvV7eVHgySfJ87C+dm/q2ZIC0LO7ePZ2t9DpkOXjRyHmfAptBH4Tli3YeliD5Yqenb09nDpHVlCtFeHvvkftfPPtW8jYs3H1g7t4+y1K/psk+5g7RnNy6qTBFwWFELq9FgYMmraAyFllnurDU/Rz36sjzxjKP85QY26migbUI1RpWWQQBYifmNA6BPDU02exvkZFAxu3bqIVUH/TyQABV8vU/Bp8riTKQdgkAKBE6qbYIndWvbXCgZRJ6TmPQLtzCq+88osAgO17a1hnLCYF42gyKBxaJDPnj4TD0wwlWudoHneCPnKuhMqzHF0G92s2qlg5RlhDexs7WL9G67m61MHaFoUa9zb3oGPal4+fOYmzp8m6/vO//CtsMjR/N6aQGAAcr1YxX5xnEjjgMFamY0iuelpaWsTyEiVRVyIFk9PzD7v7mIz3Zuug9afgb0f4swCLjDF+dh9sI+RKTjPJUOVw++mzJ7FwnNd46Lkk/VarhQ4nd1crESp8jjRbc2hxxZsKQpevKo1yrpwCLYlkmtRqISBcsrmBEMls/QNw0g/R6pDX9trmLnZ5f2zf3UAtojZPtMYNDsfc8QQmHPbKckBv0liauzGydMhN0IApkq4FhC5CcnbqofSE40wTUro7MgpDGA5vpnk6ZW9XFj1N6+vk/DE8cWZ15j7m3StIBmsAgL3NNQwn5OGJZACA5q771h6kJq/5p546i2IGvKaHao3mtFbzAQ5fSngOa28ST5BxIrSnDUbsXZYAlpkuZtzdR8Aes1Mnj4EDDVi7d995HKN0iJxpdppLc2g1f3Ioq5CfucJTyI8rPsXfjTFYXV0FADx48ADf+c53AACdTgdPPEEXxpUrV5wCo5TCPsehgyBwCs3du3fxh3/4hwBIyXn++ecBPHrFli+pjBUAtMmhvIJEUE/RiYWHOS7fXQwDPABNjs5SeLao8LIQXMkDX7lnxjDIiviwkgTbzH0JeG7CTEIzX461Gp0GHdxh1XMEdyYbIWdwv7XrH0BPZkewzfPUVRzlWsDwM3WWwHAoKsu1Qyf1ggCq4E0LA3jsstXWQJhCCZHIeIMurZzAM88Toebjlz+BhRU6rDWkq2yxeQ4tCogDibx4pjHwCjTbwINgRatSFdDpbGXpx4+dwDCj39vc2sWAFbT3rt9Aj1Gi6/MLaDTpcLTGuNCMgXRhjla7jXMXKW79V3/1Lcy1aIL+2T//55hbIRfpP/nFLzpOoCQeoMIVQy1IPPkMhbFanUUMuIwWVuEFHpvbN27h+vX3i+EjpWdGGY1yzC3SOOXI4fGh06w1MEppXYgsR435ksS8wkqLxv7wCxn+9P8mQyEeGVRaFW6/we2bXAbcjvD401Q+2ukEyDndKAgbmOf1uHzsGAyX2mZJH75kxcZvYcJxnXajhahJz890jjCc3QBR0ro8DCElMk3KVSVq4cQyg+AdbuPu9WnuwtmzpJTW6m2353xPwlUK6Qk0KxVW5LAchjXwXShbqorLQYJS6DToMgtkFZLzKjxPQDh0ZQEjCqRdIAhmP0bz3thVoFbRxM0b5I6H1jAcipAigGKlYWVxET2u1NzZ2sb2XSahjDWCwjibZMh4PTeXV5BwsleCFDXeWy9euICc0wSGeerQbFOjoTgGmUxSxIw4XD+5jM9++pM8hh7e/N6VmfonBJwCDmgIFOEVi1Gf9s39e3cRMD/U4rFF6ITyztrzESr1Yk40fIbniKIIUhTI4goL87QeT5w4hnaHQzxiGqKkirvinJoaFaQgFFx96mh864jy83A5FtTQZANvU+8i4/ypSCjkjDysrIDPSl0sfMQMYpsbA1tAb8CHlfRzkcUQfBZLCwg+N7U2MN4UimV/l9cLhAMelFJBc76VzCYOBkMEPnLDVcQXLuAYn3+ziNr9W5yo0FrozmfoTdiAW1pAktAz79zZQ6fBnFZphg8YRHPi+UhYWY4qHmKG94gqDUcyPBoOHGI2lEUBjRsFPgTn60npIeAQ9yTpY3vzLo+zRr1A2x6NsHySzgCV5tD4aHiBMqRVSimllFJKKaV87OU/mIfnp4nWGovssrpx4wZucPih1Wq5ny8vL6PbJRfdeDx2ib5xHLsE5SiKsMva7h/90R+5Cq/PfOYz8P3Zkl0BIKpWHE6AkOJDVBwOdBFTDBdjDFoNev72xjoke046rSoqbJFIAWhOoFMAPDH1rxbvspMxmiFzoZzooNun9t+8dRUeJ/R5OoBh9vbJJMbeDoUlMtuAP36EJLvJEAVoiud5rsTEGu3oIYwxrmrFWAOPx9DTOQLWvpNkApsVtBoVnDhHHrlPvvxFnLtI1RXS8xFzArGvE0im6sithudNKaldVYQwEAUAkFSMlQEI5c8Kw4MsA06eOMVtl3hwnxJZ379+HTdvrwEAFo+fRBgYfo03te7E1Aas1qv4rX/6mwCAja0NtLiC5r/4/f8SwitCWvt449W/AQB8/c/+DYKALMwXP/N5tOfJC/RgYxvxuEhOTzHfpnX9zNPP4f46tc0PBSajD1dtfZS0OquI2QU3HIzQapGVm+oRpOWqKJvDZ+C+zvwS+ruUDHphNcDlJ8nr9mAtw94B7ZunL13AU0+d4n5dx7Flamd7sY0oYpqRD66jvUiWoYw0ojHNT+h30GYsFWt8RIyzFYRVjBjbqRJWETwC55u1HvKMK0ykRZKRlSj9ACvHaS6U9dBskVV58/Z9vPUBnR99DVzmKo6WEK4iadw/wNZ6EXb0ELWojzKsIYqmmEVuOWbAtffIm/HOm+/Bcqhjbr7hQEmlhPNhCCkg5OyhySAOMNimMMbueheaq956hz0MeN8EUDjP3qezF87g+k1KAB32xlhiXqLKXBV9pmF44933Ef0phTouPn4Rj18gi/eH799AUHA+5TF6Cb1XeL7L6YUUmHDlz62bd/HGG5Tw3O40cekSeaKagUI9mK1i0tgJpCNeSGGLK0aogmIP7VYd88wMXmnVkYypT52FKgKm1cmSPgacEHuwf4ABUzNIqXHmDIW96jUfnqS2CzsiHBZuQ4H5o6Tvks0ptO/cCpju/AQWs7HBA8B6EsMktMYnoXCVxlZbWA7fVEPBtWFAahVC9qgpkSHntmlpHJu8DULnQYS2sEVxg5DOI2+tdWe0JxWKQyw3whVAqGzsvBi59NBgb8nTTzz5SFWhOLyJZI96UPdTtDuUVtKYa7m5+PSLT+P8KnnE/+2f/DtYBvhcOXkKVzjFAJgetdV63VFPZUmMGkdN6o0K8kNaHM1qFUMu6s5yA58LWuJ4gPGQnnTp/FkscYK0zD3cvkXh7hNZDBH9AwAPFvLTwknGGBeKKmJ4ADCZTDBkFN8kSRzPRhiGDpxQa+0UnqPPPsrn9eDBAxfeSpIEX/ziFwHA/ftHSbMzdfNZWFfqB0zzgQQ0CvYUIQSaDBYVTzIYDrtE0nMbXSnj3OtSSlf6nGsD+IXyIxxpqRcEqDDo2GAwYpc8IE3sYpjwPKQxE1Xu3UNbFdvp4RLnmsipAKh0mpukrYFhhcQK6VbmeDxyLmTf85FylYDyfLQXKOxx4fKLeOxpCtUsHz8LzZricJS5Ba5U5ionpNXwvWI+jqLTmiO14YLawePme7MtT2sFKuz6PHf6FISmHdPv9/Da698FAKyeW8XSCrU9jKo4AnONCXPemHSMekQ//+UvfR6HXF6/dvMarlx5DwDwl3/5F5jwPOzvbkMKWgsrpzfhNxiQMKxCs2JoUgPJeSkXzl/EV77yawCAxaU5/ODN78/UP4AqyypNdutXIlhRhCJ7ONxnviQ/QJWr8RQyFEu51+sD7Nr+8ld+AW/ye+c6VZxZpSqXIHwAY2ncoihAjcu6rT5VRGFh7RBFoR1U5Coas3TiCPxCGcLmBemuj2ajM3MfLQIXlgAUMl53adJFkwlDq2ENlYhCjaexim9/lyArDq8kuPgSISebLAF4XafjEbo7lH8wqQBLfK5Uwyq8IgRiRxjHNNcmtxj3qUrLpMYRN9psWlYNmztICWEtTFpUBz1c7l3dQHeb3rV7kGLCY1Wt1LG2zeW48QSG83N2uzt4690PAACr88fQ5BDOOBk7rqZDbfD6D+k7u1t9PH6OFL+KF+CAjcKt/gFGXEm31G5h3KM2TCYxUlakJ2ubeOwCre3XX3sXW6xkPrG6jAuMlvtQEZNp+gJSgEOUEBIhA6eunj+D42dor/RGfex3SFlTyiAeUcguHsTY36Zw687mBoYTLk/Ounjve7R+G5UAlz5D89xZPY2MDScrMgeyp+wcCkRVa/MjzAFTnjQghzWzwyf0a57j6hLNJoqDM5ukSJgnS0Y+LF/WFEDjSkrkDsYg0AK6MPCE5+ItOeAAOE8fP4k2wxL86P33IJgEWQk5NcIt4FVoY9YqcyhgF3uJwQoDAR8/cwbDbDbwSAC4f7eH23fIYFo4uYgtNp5ubR2gzuCmJxYbWGcIhJH2cfw43e2dhZPodmlfJhMzJaH1fBRKpi8laiGd78vNOZxfoRytFBG+/y6FxnZ3911lKjQBnwLAS5/5NDwwUvhE4V9/9Y8BAE/rS3j6hQsf2a8ypFVKKaWUUkoppXzs5T8YDs9REEIhhAOai+PY0Uxsbm46UMJ6vY6XXiKPQbfbdd/f3Nx0ODxxHLtnSimdB6ZarToww6997WvObfbKK688tL1hJYLiqiUBC6mmOqCzVHSKI/y4KDT6RpY6JludWuRs6eX5GFIVycxTnmHpHRkfKadIIUo4i7pZCVyir5QSnioAAxVsxBVMNkHFnx0KHdJ3mDa+kA50z8J3zpUkyTBmKHStc4Ts7jcCwIStXCvw+FMEEvjCy78IhOQdiycaOQO0HWUS8CwcVYexQJ4UYFraJTZaM62c8JRy0P9CAL6aTR9XnoLH89OoRag9Rlr+1uYGbl4ny/f2zWsOHURKD80Wtb3aamDnLoU87ly/gv09sjBv3rrp2KWTicGV9ymscOPOHdSYFXh5ZQGrpwlHqhJVXJJ1WImwxEB/stN0Y7ywMIfHGHdKWwOPw2GziEGOkBOSa60akpQxWIZ7SCfkXh8fjtAfJdy2UxiwE/De/QNsbpIX6Dd/6xgqNUrwf/Vb38RBj0ILKoBj5c6zDKMheQBqFQ85e8zG46GreJJK8uIgD2gyIU+tp4B6nStn/OrMlXYAzXlh/fpKIqgUPFYp6syvI3SOZEx9adcbuHCGQnUTBKgzK3aapdAMRtZotXH2LI15f+8mFFeVRGIZlunJh5N9CGZlDr02mjUa53otwkGPvj/oa/gBe3ikQZWt9xMrJ3DsxIzeDwB7+z1sMH5Of5xDMBhn+9RptFod/s4e/A2yqO9sbSBP6b2H+33HU6aROZqPlhdiMKLJvnZnDe02eQS8PMPiPM1FEqeIx3Q+xRONkCeyMdfBLvM86XiMt7//LgDgjdfexvFlas9vfOlF1JqzpQkYswfDZ5y2mTtDBRSMpLGsNAUCBgWSqQ/LCeBx1sOEq/0yMwEUtau55OH0RUokhxpjNKa1KUWElOcZMnccXsZ6AAOqGjt04JFaT45ECSQlLoO8JcLMHpb0An9a5SmFO0+hNZBPC1c0f5zoifP45zaDYW+rRY6Co8RqDSv5LlECmsdEhhJVXvtWaTiYGWHgFWelEa5auBpN8ZJGkx7OnaVqS6MUuqPZw3b3tivwauSFC5tVDHdofX3rh+sOZLYmBTwOS4XVOrYO6Rx6ym/hiSc/AQD40dtXkSdFAZLvgBNhc0wCvi+DCl58mTB27mwc4GD/ewAodC95Le1u7WGFw6AbO/tocZpAVK1jwt7lqxt3sHTp/6cqraMihHCVVn/6p3/qfn7r1i0Xujp58iR+7/d+DwDw5ptv4hvf+AYAClGdOUOTNplMsMlgcADc7/q+7+KocRzj61//OoDZFJ77Gw/QYBA6AeE2jecpx7FljXbEa0fDczq3TllSkXBVGJ3PpgAAIABJREFUSFmmYIs8HCHgcWa68gJX+ZXr3MVUtc7gFVUfRjsOKQ24sIQQAp0G9TG1Gmp27lBMMgnBC8dXEpIRbJMJkGfFgeRBsZIGOR3bTGuH0pwboDVHFwxUHYUn32jrDjmLDwNBFrkUFDGfKk4FUqmFhSzqepV0VXIAYGfU6bTO4AdFebLEiXlyra50msjYjb+/vYk5Llm0BohYERv2urh/g9B63/vBG3jtu98GANy7dxdJwuCLCZwiIbVBzLk3lWoVl59iZNgTx1Fll6s2Go0GKd31ehWHfGlOkonjZtrePXikku1mp+nyZISnMeRAt4JEhQkou9197G5QSfLW1gQPHrDRsDVw+VAbm7ewzGBtk3SIEYdymu0KRpx3ZI1yPEb90QgTBruLJ2MErGg3Wk14vC4CBWRcZTgY7KLKL6upCkYcmlmcoY/pXh+CSzdU4Luoo6cERuyOzzODbFjko1lErHisrJxGVKP5HWZjTDLOh/EVwHkMuwc9yAat6ygdQ/ClmGUjBO5dOR57inLTPvfLX8G/+7dEKnpnYxMnT1F44POf/zwuXSSAvlMnV9Fhfr9ZZKM35SBrBhKjouKvf4izDL+R5RlGbAjGcYJalcl4bQ7DOXeVwIMnp2XyGSfIKAmsXSXQSJ1PELDhUqs1EPBZtbe/jxZDXLz8mU/i5jVS+O/evg0Uyu1ogjv3aO7efPcGPvHCxZn6l2UJhJiCtxZ7PrcpgeIBGCcpdHHW+BFSDuulmYXmHBgLHxVe76tPnMexswxNYg3aCxT+aDQjSM6DzHQMxQjWnqzCwQbkoyPVW+pIWFI5hQdCweAR8j6NRFCEsXLtzilpJQSHYIwGWhz2aubGIYgbo1w4LFfSKWMwxqGAp4IUFACQm9vobtKePqMCh/YtLRyshYGB4fWu49RVf84Jg5U2Kbzj0QTiEQin//rNuzh3kuZi7mQN587QmfrOmsbGFindh+MxcktnoT6coMpn6sVnffjMC5blUwiQLNc4ZFDPTqeJOOG58FqOf6/fW8cm821ZO0VGP+wPcJ+Ntvc/uIEnnmTS48YCVs5Q7uT65jW8/f7bH9mvMqRVSimllFJKKaV87OVnzqX1k/5urXW8Wu12G3/yJ38CgEI2xXeq1arzDNy+fdtVb50/fx6/8iu/AoAoKn7wA+Jdef/9952nZWlpCWOGUE/TFNvb2zO3OR6PnTcmCALHfq6OhMyE8KAkW55KOW9GroFEkxWkMfX8GB0gY/dHHI8g1cSNgypova1Fi8MevgwQcMKotMKBhQkhHMu5MRMIr3CjGnLbzigTEUKzdq+sgmAAvjROkDDQX5Zp532AODKXAo4OIarUoCIOY2UKaeE1ElNPjsU0lKm1RppyCFJYhxsBCGg99fCwIw25hbMGpJSYZLNZJJ4eI2LXauBbaAbbEiZDyO/c297EPIOXrRw/gTFjf9y4egNvf58AL9duXMXhAVncYaUOoYo57MNwAm0l8HHmMnkAPvHSZ7F8iryP0jdAwuCHwz6uMV7Kwf4Buswqnwugyt4nG3agotlDWnMLHYqJAkjNCAF7h/IkQ3eXvJ46N2g2yNvwne9ewdau5TZXUa3SuG5s3MPSCu3FRmPq/g4rVQhJYzgZGXjMBn2wt4UhQ/nXaiFqnIRcC2vIOJxgpYZhD4/OYwfiJqWBr2YPFdy/vulwOoScrqNca4wLFurcELAcgDCsob1E4/n0hccd3H46ylCEnZM0RZ/paDa3tqA9BlFcPodavei/xbBH8+XlGtU5qnL6wi9/EXeY6X5rex3PPkPz/p/95q+j0qG1ZMcp9CNUv1ir4LGXrBnkiILC67KNOntpnn3iEjK22K+8dwWW+feskIiK8HumUSn4oqRBxF6VRqVKLkkAWggXegs9D7tcIGK0xoj35fvvXYXPIIQLjTp8Bk/tj8cO+DGxClu7s1UUFusAIPyeIrRvrYcJV/gN+hpjTu5NUzs94/IARpO3PRkDOqe1sLhyGiqkn3tKOlqYRqcGMPhpPBlCSVqnga9domyux86TQ0fvFAjRHql+smr28/Tc2bNI2OM4yVKM+c7QuUbGYcZBGiPl80uJ3BWNaJPDFGexMRDs7bE6nVZXYVrH4UnrwmEVWChTQCk6/xQMAF1EHaTnAF7hK0TFWZzk8B7BvbF20EPEycmDgwyXL9K+//mXFvDqD8kj/uDBBkYDOkcznTn8nz//5rdxeEjnaJalrir4sN+H4rtZCI1qlfy+W70YV65T9erG9o67SyqV0HmItc6xw+CKe7tdxOw173r3AdB3KlWJtbXbH9mvf7CQVhEi+fVf/3XHpfXaa685Jef999/HH/zBHwAANjY23IX73HPP4bOf/SwAKlE/dozcV2fPnsX16zTwn/zkJ13Oz7vvvuveNYtEXgDpyqgMJOe6GGNhuHbTCwKAXW5GCAw5Fnr3/i4GnJeSwIOVRQgsc3k4xhoU4LEmS2Bi2hCeAaotanPFF1is0mpcbFcc8rMKFLhKF1p6rmpJKon8EWLO494WwgodfElmkPJYTXqbrjLHGA3N+UieL10ujed5CC0rE14F8LgcGtLF3oWaVudJTJXYPM8dN5YQFqrI59Fwh5zWBsopOUeeIyVcrfDD+tfdRiOisenlE0LOBaCg0K6TUjno93HAUAdnzp1FmlO/0yzHAQOiza2cwOPM9aKlhz5vtrXbt7B+hzZSrd7A868Q+d6xU6tID6l09t7OBrprdDnG3T1sT7h6IctheAwSk0FW6aK88MzPodaZPfdDyRSaK4MkNCo8DxMvQlhjXrBA4wHH2vf7BiGjXHdaVVQ4Z2p7/R4Gq8QXdmylg2qDlK5qvY52mxQhazxkPD5z88sIKgVPVoCgSu/yoxA2I0UiyRIkaQEtEDrohcl4hMifXanbPgRyVqIybTFOCqLSHMXjrbaOcyrPD3DmIq3NT4UtGG5z0ttFyoZIJkeQjKJ4arGFjMled9fvoSdIydm+fwWjHuXMnDx2Dkvn6TmN+WV86RdoPajhA8wpWic/+ubX3OXh+wE8rhC8/Gv/3UP7GBgxhSyQEo0FUro2Ng7RZ4DBLM+RDLkkWAOW92XoSwRcPZnmCVqdJrezioN9rjIbj2D4ApaeQsLh18gPXN5OnuVoVGht7O/uo8EKpFU56sx/+OTiGdzboDV87fo9jPqzVaIJAeiMOaHyDODcqNwAo0NSuEbdPjzmB/NsjDErpEIbVPjsTgXAKS2YbzVRjej89dMEbQa2bHU6qBfrMYwgeN8L5TvkbKkiKFbkjdUOZNRac4TnKwf07FWvly4/gTgt4Dw0ElZssjx3FcX94RDdEc1JPx5Dc+6KTXMHR6GFnaYv6AwpK0WZALIjOUKWv5PEsSMSPXo2+hqIWOvOhMC4qHS0Fjs8tgujHpquxPLhkuYCo3ERMqtD+TTO2o6RFuEzwPEgmlwjZaNk/+AAomA6VgK6CFmmCQZMPu15VI4OAEHgY41TVe48eIBBTOOjQoV5NuDSdIKAjaEzZ84gZILta9ffgxW0rpaPNbF9UAIPllJKKaWUUkop/8jlHwx4sPDkNBoNl0z81ltvORye8XiMtbU1AMBoNHIcW0opFyqKoggnTlDS7NzcnAMYPH36NDodcrlVq1U8+eSTM7ers7TiQjaAdJqpwBEcH6VcjZbWGhkn9s3P14AeeXvMJEfAidP1qOFCM5YeS59NDs3WnTIWkrlihoMeDoakBddbERrsSq4329Ds7smEhxxFWE3C6NmrX779tX+JqE6WdliJ0GQeGJPHiAxbGzp3Hi0KJRShKOlCeIEfQnD8ScM6wDVtU8cq7fl1FyIEjnCbCYOcLVWjjyQtW89ZBuTcEdPPM3p40skYg0OyRputNmpNsmTq9RYqXLXQ3d9HdI8Yz0+sHEeFxxgmg2TPU601h/lTVOFl/Crm2Ao9efE5JAzWF0C7sezubeH2e28BAO7dvY2AvXp130Mmp25rsPtbj8fodclL8O4wxbFzT83UPwAYdm/CjziMpS1CwdxuwmJumbxG2krcPyBLKajU8DxzeC02Q3jsyfv+966iUaU5PHG8ifmlwkKuol6jcGUWZ1DsHWp3OqgzOJ71K66KypgElmlVPBWixYB+mZ5C51ejyiPxha13JxizJZxb4fBhDCRgGSTQKqDwdPkhOqeIXbs2fwKaPWk3rryLjS1KfFxoLeNwmzw51SDGwgInNt+/h5zDuZvr17C3Q2vjwdW7WLhGFXmnH7uA00yT8quvPI3rVyghcu/GBiLOcvYDH/4jeJRzkyHjEMVGrCF2mTE6NRCCaTWyDBlbwpE10Hw+JXkORwEHgYTDR088/hj0VXrmwb195xGyno+Fedrr6+vrbl/WlEKHPdaxBnqM57My18IyV8J4FQ8HXL11/24XWX82DBdP+cjG9LxkOHIJvUZMK5uqzTrmuJJM5CPXxlZzDgF7lvs729jfprV84uQnEMri3DGoMuYMOda4AsvYKTcaplVLUiiHg2VyeQR0NXPtUcICenZCtKhShVGFt9Wgwr+b5jkSnzyLrXoLxy1FI3b295Ay67dNMkwiHh9hIfjsUUHgsMFyfhYAZDDI+axP8xyqOH/z3J3LnpSOmzDPc8eubg2Q89qMszHm1OweHiV89Ib0nJt3DzGKCRtnP6th5RiFkeuNBtY3KER10Os7eg6BHMorPGm+4+4zVqPI2B+Pxzg8LKrthKvW3trdwdIJev5XXvo0lhaoUKC7s4sqRykuPn4OMVfqNeciSEFn1TDZR6Wokvsp8g+OtAzAIdiGYehybwAiAQVIERowB9IHH3zgCAvb7bZTcqIowic/SVwv8/Pz2OAyzjNnzjilaBaRtbojLJQA/CIccoSElEgHi3ivQBhR+5cWm86dGWcGPueRREK5y9pauBi/hatCJLc8o+JO0pQ2LIAwCl11ivB8l/UvjUBohHsOZizZBoAPfvhNZFwK2Wy3sMTEhIvLx7DEeRxWKZfFr44Q00nPd/HwwI8QcBltJgGPXeGjwQEOD+lSOXniMQQVGh+664pNKYowNkZx5sDsPE+63BRhMuT83kT4sKIA7vposdogZTeoaDYcAGSlEqLNuRYm08jY3byxfh+LvJGMztxYdocTLDDnjTEePM4zqqsAC3U6oOXoEOvvEwjh+s2ryA9owy/kiTuUMcpgeaKTUYyMS4Yjk2PCCsBO7wa296dopA+T7Y0PEBQlp1Kh3aTDNEknqHAVj1dtwpN0SRxfbOHx86cBAFVlwLo1NrZ3Mb9M34+qK8hT2me+H0Gy678SRbAcEhr0e/B4zhutFlKGf9jb2MawR+XVQaRRrRZkgVUEdVKiJAwmj8D5dny+BmOobUIIV9E4HifoDRlFVyg88cwzAICXPvcyLnKV3PKxRdz9ESkk3/nr72Jvh9ZjJfBQgASvLM4j3qcQ5JkTKSYcljjYG2A4ovYfZCMc7NPh3r23hRbzqXn+tNLR8yJkvC/TVMKms1+WI5Mj4bW/nwNmwOEzqRAUXHZSIeJS5FE/QfH4iTGo8e9Gvof9gvdqqYNgndIE4jR3xlkkPFfRtN/dQ5+BNIWVyBjZXXgSh2xchuMxFoc0X+NujJyVT99YZPFsIR+p2gg43yaZHGI4pDWeZQNEHPo7f+kcBofU3katgvMXKMQaBhXkXLlTjdpY5PSFxVPLUEV8Kwygi1zGIIJiQkLlRw5FWQjf5QtqTI1tCnUXsCBTEMLc5Mjy2edQ+qFD2FfQEHyOe3LKBZgkKcCXeDOqI+UadS1S1EPax5mSrmILUsILCzRmbxoWzjPkhQIjpEvXsNZOya095TgarbVu3xhrYfjnYViFF8yu8AAWnH2Bm+sHyBno70u/+mVceor237Wbt3HjJoX6b95awzbfwWEItNpkFG482MHuLinOE5MjzTi0Zw1GRdi23sJ9rkSrVqv4yq/8KgDg9OlT8Plu1ufPYMLQF6P4AIdDMkAzMUTCnHuDeB/mISSwZUirlFJKKaWUUkr52Ms/uIfHWos2YwMsLi66BOannnoKL7/8MgDg6tWrTnu9f/8+DjkxtN1uO63c930cP05Jn1TNlLtnPopkWjitTwnpEtlyM61OEnZq3QkhKeENAGAQssfJn6JmQ2lzhKvJwi+qk6R0loe11mXiVysRLHs5jIVz2WtNlRYAIHUGj/tI+ASzl4YIH/ALiG6bYpch7ENfYqnBHEVBgJwZbotEYwCoVmuO9Vf6VagiA9uTSAfkVblz7R30hxQSCD2DpeNksamw6ZITAygIDvlpkRL8PwCTTxAPaX5NMkDA7ONeZQ7JjEA8QgIBW0faGFcdEccTNFrUl1qjjhonam5sbSJm66vSqGKL4feHqcXq4xRmUlbAz8gC0Yd76O1QiGRwfw37m/S5kaaYY6yeXPrwuXLOg0RSVPg1mxgqGqetYQ/KZ0+htNhN+jP1DwD2N7tIckpqrdQayJeF62/N0hwGqoqLDGy42F5FPKAEPhV6WF4mN/GFS2ewvEzWV+PcOXT3ad4areNoMk+TshLxkPAysrT/Y2Cf06RyxcfH3lYXmkOjJ04fw1KdvArD/iH6h+QFOjlDHy92AvjsBYCdVgpqY3DI3jlVqeHp58hDefZ4BeneGgDg2p338aPvv0nfj0eYZ89l4CmHHRSPJ7jLCeobm30Xwk21QW64WMH6DhdqP46RrTMoX34kJGvgLGf6k8bnKzP0MbMWCa+TTFjkHBa2wmLMeEeBtgg4bJMcHjo8sFAKjPhsGBoBy5b83Q/uwee56MNgzAdLJ8+wsc5UDXEGzWEPbYGYvTfVWtWdbYEvXXg39Gqw++zhURLVaLawnZASlQbts7Bax1xO4SqdxJiwl+iwN0DvkPbcaBxiv09eoKt3bzug1RMrx3H68csAgIkwEGOaBxVW0GLclah6DCJkoDmRowhvkUenCJ/nU44tA1c4IYSGtZx4DA3pPwLjfZ67aHuSpSjijJk27h6SUsCPGDDQk1DF+ZTlSHnsTZzC6il+WTGf2lduXcATkHzHhEHkqhi11i5dwD8SDpNSuoIZIYSrCvaldBXIs4iQxvF5HYwTnPJoThfnWnjiHO3mdi3C6gkqdHj+8hO4yvQ7Ozt34AdcrBJXoUd01nYzgQOO3MTj8ZFkZg3F4IGPX7iIM8fp+ZFUkExBpFWOjCss42QPwwmt60EywIgTzq00jlPsp8lHzrK1dkry+P9RrAvxWJdv8xu/8RvugP70pz+N06fJBb+wsID1dTqIn3zySQcMqI/krfx4u4pn1mq1Iy7MhzuwTA4HBGalhSmwqIRx6Ju+EFDu8hWwfFBmkA7USh7JP9FKTgGuQCXZxXdMAYglAGOmh0jxLmmnxQMCU70mSS364ynRZxjNFu4BaKyOjoXOC+RR7TauzvWRsvppfFjnmsg2qedIE3ajKx97Q1p01268jvGEQjuDwQbmFmgez55/AcdPUilvanzHS2SEgGSFNhnFONwjV6hMR/CGzJm05COqzwbMF1aqUK6KTiEvDqM0cwjcENKFZra7e/jRdQJnW1xexOvfJ6iDYydOw0yYY6g7wpBB+dSoh2BEG1XkE0RcojNJAY+52LxaCMXrIumPICrM2dTsYLxDykOrUXdgd5EHtPTsQGDDgUWPQ2OV2INfYxiGZITJgPbFSv0Uzp4nHqXVUz4GXUY/lkDIHGEXIoUqfw5VgsUFytkQfuQ4hybxGBkrv0LA5YvF47EDNfMDhUaHlIqoXkWP+afiCdDr0riFoUKzPjuX1t3t0YcgDQqFRymJ4j6SgxTf+ca3AADf+vqryDlUEE9SJByek8q454whXA5EnmsY3uDaCGSmyEETsGz2WCGQ2aKySMPooopGuM9GC+SsFGkxey4dANQ8gTSn54TWICwUSAXXzt6gh/k2hwU9Dy2unBKwGCXTHKciHHL/2jrqDNLXqVXR5OeIPEevR8ZEaqYAeUIKjBnAcKndwpMMKnd8uYlWgwa6tbCAYUxEouNB4i7vh4mxORSHFZRSkGJaOVUJOGReayBaoL140BsCI1LM93b7SIbUrmi5jWMMtDoQOQ45L6gNDylXBk1ECsPVkMKk8GXBbwb4xfWgE+Sa2hOFNVhZhISmJfRCGOARCGB9aCQ8fj4Mcl18Fk5ZNsYgL/gUjYbktmVIHaq379kCVw9e4DlYBa3gcnJC5U3TFzSguJ2VKPwwtyR/RSnhFBXJbQJATAHZ7Hxh7WbF3aPCC9BepBSApbkGett0N2+urePqDQppbe/sYu8BhdPHo21In0O1fhWLLYY3GE9cBVZurMv7hAGef4aQmZ9/5jlHN5mPx5C8v2SYYzwmg2+SHUCFXGUbDxAzFICVBuIh8AJlSKuUUkoppZRSSvnYi/hZeXBKKaWUUkoppZRS/mOV0sNTSimllFJKKaV87KVUeEoppZRSSimllI+9lApPKaWUUkoppZTysZdS4SmllFJKKaWUUj72Uio8pZRSSimllFLKx15KhaeUUkoppZRSSvnYS6nwlFJKKaWUUkopH3spFZ5SSimllFJKKeVjL6XCU0oppZRSSimlfOylVHhKKaWUUkoppZSPvZQKTymllFJKKaWU8rGXUuEppZRSSimllFI+9lIqPKWUUkoppZRSysdeSoWnlFJKKaWUUkr52Eup8JRSSimllFJKKR978T7qH3/39/9ba4wGAFgL+FK5fxNCuD+Lz1LKD/3c9+jxCgLWWgCAMQYW9FlbCyGl+93iO0efaa2llwPwfA/tdgcA0Gq1MBqNAADD4RB5ntF3PA9RVAEA/G//078QM4yBneE7/zHLQ/t4c/22VTx1UgFCGPosBTw1Hf8Pzamkz0pIKPvRr6D5eljrDKyl9xpr3Jxaa2FM8VmCvwJjDIyhvywvnv/IBoTViq3V6/QMY9Dv9+kZWk+boRQUrzUI4dZyGCjkJgUA5HkOa3xutoQStKasyFCvNwAAq2fO4f6DXQCA54d4/MnLAIBasw0/qtLPPR/1WtW92+PBb7ZaiKIIAKCUguKf/w//zX/90Dn8X/7lb9mM++OHAaTwuCvK9VMIAY/n2fOAiU75/QI1P6B/sAq5KfaKRBT63EcgERMAQKxH8ITPYyiRZvR95SlYy2NqJKzO6aONUWyjLDHI6bWIojo8j8b8v/9nf/LQPv6vf/yqrUqa81atilpEbQ59C4/nS1oBJeiZAoCUvHZMiqvvvwMAWFpcwKkz57ltPpSg341HXXz1q/8HAOBzn/sFPPHE8wCANDMAj5sQwi1ZIaZHQzru4a+//scAgE9+9vMw3Ib1O7dx7PgJAMBv/+qXH9rHf/G//482z6mPQsKdPgIAjrwPvCeUVG5f0r6hf7baoDibhRAIwhAA4EchwOtcSOHWmPI8d9YCFnlOcyfFdN/nmYbmPWePNMfzfYQhrdv/+fc+eq2eWj3rOhFPYtSqNQDA5cuXcfz4MWpj4Lu2T+IJhnyOj8cjZLzWKtXA7VcpPYRhldvrQetizjV4eUEp6foahuFPvD8mkxTDUQwA2O0eoDeg9zaabRx2dwAA7771vYfO4b/6i7+xrTq1R0lA59QXrQ2CgNZsrV5DPaR7qO6HMPzUOE1hQWNcUdNz01rr9lmCHLZY41ZBStrreZ6787RSqbj7D9a6S8waQPDZIKX60JjU+Yx8cqn20D6+/sN37fPPXuI2GAhbqAo5IKfntWafyWAcY29/AAB46613cOvqFQBAw2q0efwjnUAIGqurm9t44+ZtAIBpdPDUc88CAH7ty1/G4cEBAKDbPUSnMwcAuPb+B0hG9PzDwy6ybMJjkuCwR9/PrUbA5+v/+a/+9U/s40cqPBUvOLKpJDR/NtZ+6HIspFBYis/F4tUQ7tAHaJMBgOGJ//HfJZXoyElQvMIYdLtd7vSh27TGGljeHDaZwA76H9Wtf3QiPvT/9sNzVvz5Y3Mq3aUiUOxKgb8/xyRTJfbvKT4/QZ08+kzAOgUMVhx5joCUszkgo0rFbez8yAEHa3HkRHGfpZTwWQF45pnLiBNaL9euXkOesjIIAVUofb6HJx6/AAB48YVP48++8U0AwGiSuedEUQThkZLgqanSrZR0ilsQBKhWq65/jyR+BitpvafQUILe63sB4PEBJARCv8J9tO5gMnoC6xd7TQGaFU+hkBbPFxqjbEjPNxn8ou9GIk0Tar+pw0OTvmNHMB79XFuDXNNeH2cTVAO65Lyah9FoPHMXI1/BVzyGfoggoM+hZ+DxWlBCQh3R8RXfyjrPYTPqTb1WhQx4nLVAyL871hppRmPoV2rweO6U1PCULUYHlucrN5lTDifpECaj/o4O9zAa0ViNdu5iZ7jJrfnyQ/toLVjToQtb8Ls0jhiRUkzXMKb7zFqLQh2TUkAUSqCQdPOCdqLHcwchPvS7SvHvKn9qWGgDY3N+03TPWRgovmijKII8Yux+lJy9cBlxTHNeq1Twn//OPwUA/NIvfRnLywsAAN+Tbp+nSYqDQ7qw1u+tY3OLxtLzLMDnQhiFaLXp4ut0FlGttfg5PiTfIVmSIuf7pl6vo86KFt1fPDZWYDgkhWdrew9rd+8BAB5sbuEH3/vuTP0DgEAoSFZIfeU5pduXEoFPYxZICY+nQQlAFEY7LATPvwTcPAsrnFKvQh/So7WZpRp5znOIqRGXZZmbW33EsLNWwPKaBXJUivNGSuRHvvcwsdbCU6weWA3JFoEx1ilsubEY8Vxfu34DW5s97lcAKUnx6Hb3sHZvnfqlU7AuhgRAlc8qrQ1a3F9pJQqbylcKfV4b4/EAe9tbAIC93W14Pg1utRo54zyNU1RZqftpUoa0SimllFJKKaWUj718pIdHCOEMdN/3IDVryj9NUzxiUAv+H33+sWeyZiqPfOdD75VqarEYA82eHG1zGEy9EM5KtgJWHwmHYTZr5B+LeL6PnxzSgrPo5BGPylHvioQoHAUfEvpOEQfI6T+ArZeDaG//AAAgAElEQVSp5WFN8csSPyn6Rp4lnmshXBiBwlyzRRt933censKbcqShH/6T2+755D24/NTTqNdpG4wOD7C9uQcA8KQHyRZOoxXhqSfIvbu8MA+f40Zzcw1EEYUSjoYEpVJQampLyCNhW2dBW3vUiH+oxOjBsBcC0ofmsQxEBSLU3OYK4i3ql1IZ1HwxQB5Sj7wf2qbO8pSQiA3N28TkiBO23LIxqhG9q+FVoEK2YOFDb5OHRzUThD5Z2hkCjECe12q1irZHPxfKnyHgOhXPJFCFd0hNx8oIb+rBFfQfQFZxMYS5SZCwJeyHFcjinLAaAVukNkuguL+NQMDPKSSQjoeYJOSxyScxkjFZraNxDzH/vNvdw846ueA/MCnW1+4AAOKDHZxebs3eSQtM3SvAUf9rEUJSVriwlIWF20LGkrsAtMZQeN+lguI1KSScBe55wXR8dAZo9tph+jIpBYyld+ncTMdNSLf+AQE5o0dyv9tFu0Vr5Ld/+7fw27/1m/weiTylNSjhOe+8UgorS8sAgLl2B2dXVwEAe7s7GI7I8xpWAoxi8sxsbm6i3aZ+Ly4uoMnvyoIESUxhjt7hIUZ9Cn+EQYCMPR7S89zi6XQqWFl+BgAQx4+jGv7YufERkkwSSHZDyCiC4riaFygXwhWwHwrhF15DXwj47LmEsG6N/z/svVmzZcd1JvZl5p7OeOex5hEooDASJCiQEsmmBkKyJLJbLanZbrvd7XaEww/tcNgRfvOD/4D94Dfb3R3hsNUMSuq2Q22SLQ4imwRIgCigMFUVarxVdavufOY9ZqYf1tq5zwWBqlOkZEUw7nrBxa1z99lD7syV37e+b/m+7xiUTBoUvJ5leQ5dVPNp+RiKonBznhDCsSlCSCguJdHGIk7pnuRGQ/K4xkr7oddYFHnFwGjjxlSapBA8Bm/euoM33nobALCz10Fnl56RkhGGMbM7RqHwCMnpBT6GHh1nLqjhE4dPAgDaWqKpqGTg5rWbkHz87a1NbGwSqtPrdLC5SehfksSIwPNcZpEz8prnOYaDwQOv64EJT5ymFSOQ5xWUbExFc3zoRXAvrdpfE1I+nCAI3MMpBz1ACVL5GQ0Lq10xhzumtXDwFS0Y1v21xzx9obU7zi8a9iNWpI+jIsYpoQ//7SPTF3/N4Xlwg0gp4RIMISraRkqx73m5xVvQolH+XE7Ww34PN65fAwDcvX0Hgx69TGEtwrGTJwAAZx47i3qDIEZdFPuS23GmqZxqjBAwnCdIM2m6g33UlxBjdNn4z/vuhwfFk7lSHp547DEAwO3z53BVXQUA+H7NvfBRTaLVpJc2jUdIefKdas0AjmKQ8Jm/l8rbNwbLn33f33euk1J2AGAyC8mZiueHcNiwscgTfj4A7nywQ+c8YzHdoslOSABc4+YriZxrDlJrMOI6n1GeIcvpmGkyQGSJQlB+C/UWfT4wdWyP6FpqdR/DG7zJqFlE8wRhB9LAY/psVAwg/MkXkrUr7+DJZ1+k8/cVgrIgSQYQ5Y/SOhpDGOmoriQG8rxM/DzIlBY8MxxgxFTX5u0byPqUmF198xVsXnmfPi+AdERwfB4PkSeUCOXpALagZ93v93DnMo13JD30t6nmQ496COaDia8RGIPVJSWdACU21r1nApbfS6ONq+cRUlZ/a7QbP8pTsPx886xAUCMao8gLSFXSZxZ5yknv2NyshKrqgmy10Hq+72htKSXMhG9jKBWeOX8eAPD8s8+6OhNjDOp1uk9xYjDixbfVbKOsv/M8D/MLCwCA+fl5GE5O8yLDbqcDALh9+z62NugZ7u72sLzCn5+dQVaUJRdAnxOePApgZbUZLt/7IAyhuXYvihRWlhcnuj6AkgeP9/xpkSEoa2yyHJ6mny1MVQMmLIQpN/mAZ3lzJgVyroPLjKYaLQBxkSLjsZxnBQQv00IKeF6V5JTPvyiKqv4V1m0yrLVIeY1Ni9zN+5NEmmZuvja2qhcrCg1PUrJx8eI7+PrX/wwAENbqQFEm3T4MX7swBirjWkhPwXAtUGthAXMrqwCAtudht0/P663v/RBT07xm6BT9AT33Xq+DNKV3McsSaMM1PNp3+YS1D59TDyitgziIgziIgziIg/iljwciPIB1Wb41hiBBUHW2+BBFUP53XI314X8HCJYrd7ye5yFJEvf7cbh/fEdRqgvEh1GTMWjbqb0ehSd4QHwUugOwymxMTfZRn/+wyuxvG+GRyjqKZR/1IkSJnP8swuOKRC18R4EobDCs+MPv/wDvvU2V+Ddv3sAuV9bPz8/i2InDAIBbN87i+edJCXP02Gm44TZeTCwqhEdDVGiexCNRPpOE29UqBcFjsNfvuWLOxbkZ2GOkuMkLiZx3NZCZQ3XiQYqCEYPtrS0ErMw62Z6GV6oSPd/ByqYoELKCxvO8fefwKHyP5yvETAkYZPCYSuslA0exiVGBmCHd9pEGrEe7u8IKpH36OQoUfN6RJnmGbkK/j3ODlK/LLxqw+TQA4N0rGzj/a7wDlwJJTDuulla4d4vUakuPF5Dld+kcMe+cM6tQ2MkRnh9/7xs4epTQwZXZNkIwZWNTSN69W50iL2jOMKmGzuh7t7fuoXfvJgDg2lsGIdMYRb8LzYXKNzd3sbVOBZR/euVdxCM65iee+wSee45QiZ++fRHdbYLRD89NYXWGoHYvGaKuiWLxsi4WpwjR0mHhFKKThYDbaJtKnGH3CQkMSlmPFFyIT/8AiwqxcS+I1G4kWUinYjI6h7QluhhUCjtr3feNF7xCCNiSUoZxNBnwEVTxx8SxIyv47EuE0k216zCWqRZpXQF7b28bt2/fAQAsLCzh1CkSBDQaLYc2JYMeRqzKSfIU88uk8Dr32Bms3SV0bbfbA7M9MJCEfAKQIsGIi2k7ezuVKEIQygoAge87RVoQBIhHD6ZCxsMqgZxnLWkq5FoKC1Ouf4WB5vGb6cyVBfhCIucC/0KpfUXl5VgwVkOzks8YAaBEcCWsrVCd8pmQ0pU/DyrUp+NU5zO+vk4SZuy91cZA5+WaJyEZbr137z5ur9FzVEEEj8em5/nQjEYbADKnYzXgI1IsFFg9hqJF79Z9D9jqE8L6ztvvgqdOLK/MoVan/8mz2IknCp058YEQobufQoWo1WoPvK4HJjzWAvkY11ouUqb8R/oUBF+okso9tDzPq8ndk47DNFkK5SSmlSLCAkj5xC2kg9+UktWyYKxTTfjGYFij40ylEpmu6DH7CJPsx1/7R1NSH5fMjMvq99Ntf/uhlNp3ntXPoiyV+hlVVFmfMxr28M7FNwEA63fW8cHlDwAAb73xFu6uUfJzb3ML/YSVGVGAhVkayFP17+LZZ2gh+S//+X+N049RHYw2xtUEWGsraTEqdYox5udLFB/wN+OqBs2U6a2ba7h1k+Bsq7VT/UhPQPHrkRUZRqzK2dvpu+RRC+DevXU6uPLw2DmSqM+0Z1EKZYwQLhEScr9qRsrJr0/7BhlT8HmhAVZUeZ4HX1HSNdiOoROaFFr+AoqkpJwK5EzNCAlITpYKo2ByToSNBz9j+Xw6h6jgY25ZrL1L3yVsilvXadGvB48jk1xjMR9gyBCzEMCAlW6ZDmCLdOJrvHn5bbxz4ScAgKlIQSb0vXrUR8Y0U5b2kaV0I2xqYHnF29pcx9bGXQBA0L+DGo8plWcQLLHv9VN0uzSx3lpbQ5eTwNWTT+I/+9XfAAB896dv4N+/egEA8NL5x3FoYZnuZ8Pi9CpZYnh1D0LRPUQjxCCe/Bqt0G5xEhZj0ndL4x+AtnDvh7QFPEsJpCg0ZOkKYA0Svs9QAVRA56PCAAXXNFgLiKJc/DR8VhFawCn16ByqOiK3GVV+ZR1RFDCYTOHzwiefxfFjRFV4HpxNgjHG0eFpmiKL6Xm+99br6PAm6tDho6jXKblOBkPcvUOL6d2NdawcOULH//RLOH6UnskhvegUb0WWubUkqoWYmaNnde2DbfT2KDG3Rrtr9ZRym7pWq4Xu7s5E1/fhsEJUdaVWUW0VWLLN9UJyXCkGi6woaSxb1UcKDV3WQcKrZOlSVCotm8FYXvTzws1hhamoSGUlVGkpISSYYaP19BHmG9/zHeQwDi6YMRsRWIFTp88AABrNKXgo6VAFzWo1IyVEeW6FgM/jdGplGSqiej1fSrRbtK4/+cRT7hqlKrC7R5sPUiXScYoih0VJX3ruuQtp3eby4+KA0jqIgziIgziIgziIX/p4IMJjxjLioigQj1E5TkFhDBwpUZjq92NqBKMtpCgLDQUUq03CMWMkwDoKwfOVU10ZXaE1wlpYn37/eG0KjGrhmoohnTneWAb6C8SH4T895n9QxjjCU+jC+RaMm8r9bdNZwIdRnUr9IgQcyjBOaQEV2eKpENNThIDcvnUXb731BgDg0uW3MT1FSM6pU0uQiqDEfreP+/coK7/VH2Ewou967OkfYnGF6KJWq4USu5ZCOHjdVPV2j3Tf9qnKHoAM7UN4eOzcX9/C+xffBQDMT/mosWKrXa+jFEXlpgafDa266CPw6btyZZEycnL16rvwQ3rmrXYdvqLPSyldoT2UhWZjPSXUIxXXh0UDXkaoyzCRwDShHE0lEDIac297B9ISZGy3POgBmx8uJ9DsuBMGDYSsJMmFQcRoVTsIgZiep95toACN89PHTuInr9IzL4oCT59/DgCwvTkE6hkfR8HyVtJojSSmY2YaThE2ScT9Hn7wjT+nY25fx1TASjQLV6ispIVXonB55em1c+cW7t0mX5VTyy1EvJP0FBzq1ywiDNlsrj9MYbj4spskCKcIEfBrLQwS+q6NzgAZzyU138fqEo1f49UwTHkOazSwPVib+Brt2HSJMRoDxjo6J0SCkBVkjdAiYE7ZGOOUWdoY5PzsCmSwmnbFWeIjZpVqLio/Fyvy6h1RnlO+Gm0cmqvHfvb90FE12hQozGQIz+rKkkNAizx383cQhDDsezS3tOqUvkWaossFyUJ6mJohr57QDzBgtDJOC8Qj+rnf7aLNorjADxDVGK30lfNoG41Gzu/q8NEjeIdNBYs8d2irVcqhaHmeoz/oT3R95TkLv5xDDVQ53yjPsR1CATrX7jOC14Z8TGmcCVVaaBHCI0uWokKEYIVTbwlo6JTVT9o4xVliDHJGgUIjAUP3ykgFHdD3ep4HaSbHN3Seo2Q7pRfgvbcJ9dzc3MaLn36JrkVbLC1S+cLc3BLK2Tuqh2ixQbAfBq5YPtdVWUzghxCl304ONENSjj3xwoso2Bftzq3LuH37qrv2UmxR5AX8gFkipZwmu8hyJPx+f1w8MOHxPM9BRFprB3ES9/mz9M3H0UDyQzRQyZ1mQjgFgiclmkHJv2knwS2KolIRGGBlhgbyrx0/grX7BENevLeHCKyUEHikhcRijK8cg3dHwyHu3dsAAPT7fXdtge9jwHUSRVE4WST53ZULauHuz4kTJzA7O/uR3/3/VzI0nswoWbkoS1FRWuNoJ010PNFHNTz5BMk3n3riCdRYovx//KsdMDOC6XbkjCWlt4zBkCatnd0h5heIex8Md3D/PtE/7alzFe0oqmclrYXg38uxerCHxcdRjh8XxlhorrvI4hEKhtenVlfQbNArEUrApjRxeFET1mNn1eMR7mwRRH5na69SmGmNDy6/BwAY9gd4/DGi8g4fOexqhIQUTi0nhXST7yQx5TXR6VFdzfbaFlaeYVotsEhYpbWz3cVCk1Qrg26MrTWaxBe9abSW6G8bvgK4rqIWRGjUOEkvJAb3KOFJBwa6yfUHAHyPoOfpRoCZWVpt3rm9huUT9PMwS5DpakOjWa0hoZwqZpKwRmDI9EN/6zam5umchQzcIupDlsps+BKuPmO6HUGukg6/5nlOHiw1kJc1NtaHKGsg8gKKXaY3N+/hwoW3AAAX33zL1a7EcYIRj41Q5WjU6D7k1kfGVJ2vaugNnX3jJBdZydJRVQZoA4SG5pVTsxJ+xm65FpWrrO/D9+ilE0ZBlA7SSR/GUAKcaQvBc/ZWEaCb8LXLOrKclbJCOpkxROW6bIxxGzspJYT7jMCkVQKB7yPn92YoJDyuFxuYAUJOQsJ6E0uHqVZrdn7J1cdJ5TmlXTwYOrXZsZOncOgIJZtRve5qpkajIVKm0oMwxOwMjcdmo+6sC5rNBu6skZ3AuxcvuhvearVcPQ+sxR4nS5NEkSdUZAhACOXqeaB8GF2WYlRjEBIwvMOSFo66TKWB1mUto0ThaoEylIYLQgi3Po3lu9DGQpe1QLZ6PkWhYdlIUgS+M1K12uyzynj4NeawJSWnJP7dN/9fAKTMevw8rQcFAMEJtfBCmDLZ82qo1+hZNJpNJPx8y2OV55lzzaCxBvDZdDFqAH6ZCflIGdXo7GzA5/qfqB7BY3pWKoWMx4PJNUz+4Hq6A0rrIA7iIA7iIA7iIH7p46FFy2laFeQpzqogK48UPdYXCda6rJAKZUta50OtKEoayGgHeRpTmRD6nkXIuyxfKGeGZQuLMwyVzTYDfLBK6Ert/j13CuPePpOERoU4jYYj7HDx2tqN27h6heA0rbXjWqSQ6DAEO94qwFrrdpKDQQ85NxQ6c/o0PvnJTwIA2u02Zmbo/Mcps78u36CPCymqAlk11r9Fisqav7JwA/abQUoUvDvxpMazTz8LAPjxidN4/22iOvrb67CCxkm91sT0NCE8Z48tYHGBdumBTDHobfMxtTM7o74vovymquZYwD2Xv7ZwBdGadmkAfFnDoRWi7NrNBrp97uOyswdTtiqYEphfJZQuaCpEEZteCbjCQWENclYR3Lh+1flILSzMYmqGxqknq744EvKRED7l5xiyD8XezhDnFCE5fdVDpuh7R0kfA0koTSsKsLnJu9YpiSdOkLlb4AFxQr9vhg0EAau0NiR27vC1ZDlSPn/ptdBkKqLdaOPGxiUAwNxJHwHTf7qIK9O01CKwdH9qodrXU+xhsTC/AsMKrzy3KHsCGa3djt0I4/zAhKx8pJpRANUkBEakWWWaZjUkF3F2d/fQ2aXn6ysfjQY9lzMnTuO1V16lW9WaQo2Vd/3BELt79K7XpkOE/F3DNEXM/kVT9XqlopowPqo9S56m0FyVPogMAj79hgUMoxgFAM0UXqoNBD8XbQQCpvACaSCZNo1GG9ja5rYgJ87B8ufH50g7Tv+Pzd/JaIiMv9cPAmphMkF4nk+9yQCM4h7yjI5frzeQakaq+rEb+6bQzmcmG8WO3lKQMPyuzC3OozlL86YVFWKXjPro7BB9DiExN0fvRGt6Bl5Q9o4DnjhPYoJ76+u4fInG787OjpsPAi/AVqc70fUBwO21NdeDLqoFbn3ylHKoURRFbs0IfM/1fzNFwQwAkIocjYCo70ZtBrtdelYCAtaUbZMK54Hj+Z57XkWRouAxqDwfoU/HiZRHJmYAhsMuOj26V7Ozc48033he4NZUY6nPGgD0ugP0mTZK8hwiZKrOq9D5whYY5aywSODmBggBaSpvnwJ8jcJU66sUYGEhlK8g2aSxsBZCl8os4ZgnIYRDJYWoTAg/9roe9I9CVLUr1lqUzQuNGOu1JAWELavUxwlq6STP4+67SnkV9TOm1oGUTqVlBFx/l0D5CPlFbUQC56bZ4CyQ6N0c8Z9Wrrj5KN8nqXtYCFSKiO//4PuI+EZ+51vfxbvvEkXR7/eRsXlSHI+wxxLshYUFN8CFEMhYNtzrd7C6SkqC//CDH+AnPyHlyRe+8AU89xzVQKysrOyT4f9N0lvjdTv76nkgIB6mvrAavqoWnvLaDSSWDx0DAIShRVGwO+1whMGI7tXUtEDkYOywqqw3GYQoJ9AxvvrD5z3hPRmnsR50H93Ubi00TxbG5KjXaEwdPXIEnR4lDL1W20Htq0eOoc5N7DZ395xixZNw484Y6y5D+Ao7LG3u7m3j0GFWrQjlJJ3j9OkkYSOLmZO0YIRrObbY9O/kZ48jySmBmZ4NoVOu8ZDWSeZ7uwnSIf9tUyFgisoXGmFOi/72HYVkxIlQq+F6Fwlj4Nd5km33sHyOjhnNeW4iU14DgmepVFloriEIfA+t+uSUlrECnT1aeHrdNsxSaRVt3X2TsITtg5RH5QIQhT7aAX3eM6iUIaKSYFttUDbuhPAxw9f4wvOfwBtvUePRT33yRVx6l9xjh4MO1jeJYlucOgLFFEuS7DmHar/ehCw3ghOEspXEuzDajXyb5+gN6b15tz/ElKX7ECQJFM8xYRg5WN8KQPisoPV8V/+Ypwk2btJzzI3F/DxRyp3RACknEL7xSYUFno/LTacuXBKQFbmTzxugGrcPCaEC7PVoQex0ujh5kt6nAB6SESdanuckxsNBHylbkwwHffS6lPA0AoVajZvHNkI0uR7NA9zCmudFORQghMUWP6tRnGBmjsZCGISupOCLv/5FtNt0Phd++gY6TGP5no9ud/L+i5v3tuBxcVoQeBWdL6RbuH3Pr6hUURnpmrxAGNJ1Tc004LOazAw1XvkR2XyMRtWmtN4IUWPDRk9kiEL6h+mZNg4foTVmaXEB09xfrN1oImFa59U338J7F2kst1rtqh72K7/10Gv0PM9te5MkdeBFp9PHlcsEBMRJ4mohtKjWCYsCCasqpbRVPSuEqwvKi9wl3lmaubnE8xV8LmdptppQrPYSSiEv65dM5TidZZlLCBUIbHhQHFBaB3EQB3EQB3EQB/FLHw/cfqVp5rJXJSUwZpVd+isQpFRSBWJfNlcUZQFcVYAqZNXr2Gjt6K3x4uck14gZvqr5BklKPx89eRRLbFaUphnu3CDfjaHVCFSFROERVFoSAnsMo1qtsbNNtMuly5ddBhqGYVXgBuuKTaenp905+77vEJ4sT5wBku/7+OAD8q7Z2dnB7dtkfPa5z30Op0+T4VbECqC/qfhZJEH8zM8fhzUIYdHv0j35t//mz/CX//4bAIBWs4Yz7DvjKYGCe7YMhn2UKN/M7DRqbBsf1Wvo9QgdWlu7jlUuWvQ84cy06Dx/Vin2KPGgouV9RdCqpAYKdAa0G1lYPoSpOaK38jTHgHd9c8tLMDyu1+5vVX5vAm53EXgK0qF9CmCEMon7rvhTCuEAUM/3HonKLIwH2aLx9eRn5/Hej8ijBBc8HDlOO725Vh/bCY3leruFuVlWS2UDRANCdZYWDkGpBh80g0noXvVUB9MzdB9aU1OYbtPO887WTSw+SWN55kiIWoM7HCNFIbg3kvAQMMrhy9R1SobUzjtjkli/exeaTQXTJBl7XtoZ8YnxYlpb7fSUF6Dd4LmhN0DBlLKUFgUjcjt7u0j4nbbKx/MvfIru5/nziBlxOHv6BBrsBbPT3cUOzw3DbAkFn0N/OMCAewWleeFooElivNuJVNIhVEZ6zp/s5MIUPG7zkccJptqEOlsZIC3fFVsZD+YALE/IhfHR79G1z7Q9PHeWkI71nSHucwFrr5iC5cJQEUUOMdN54VQ0vue5+d5a6+7nwyIe9RyltdvpIeJC73Cv6469sbmFK1eu0HfqAvUGfWZnexsbGyQUefLcKTx+lnot6UIj5z5ZotFEWHoOtaYQjypVTll+obMMu3wcIQRmF4hin12Yx2c/9zkAhHj85JVXAACbm5vOb26S8GTkqof73dghG61GA+Ws1e0OsNcjlC4rctT4nNM4gWYE5o/+7u/g5BGi4Xq9EWoMqf3krbfd+Rw+sohjxwkhfursUZw4SojdocNLOH3mKJ2PsAiY/s1ig9cvkOr0/Qvvob9Hc1hvt1sNvAnCmKoMQmvjiskFFL773e8DIOPShSWaewJYKJ7zBp0Otu4ROh4EARr8fKMoGmuNIZHyO9fr9tDje+V7EgvzNPc0wsAhY2mSwStLErR2JpZGFDCloaaxSLOqQPqj4oEJT7MRYsQDTRuFRhS4kyoXfa01DGvrCm0r504Bx68LwLWm13lWyaKBscag1eJhhXAvxzDXaJTSuvYcshWSweVbGyhadCPTbsf1KrFj7pKThACwzVDo0sIi/uIv/oKv0YPXKOkK45KZ0WjkHqDneZW7rlKOV8zyhKXXQK1W29eU8+JFgs7HE6THHnvMHXOSeFQKbJzGGk8p9qcX+Jn/A4DRcIA//dq/BgB87Wt/glmGYFcOHXYLwChOnZGZNh4Ec8hbO3vocy+dxaUleNx/CFJS7xUAi4tHPuaM7Eeez0fFo9KBUkpIv3QqznBng+q2+onB1AxNQPcuX4diiXe/XyBo0IJ+//4eu59SoueUD7lxY0FK6ZQ4eRY7VZEEqSsAev6PotIqcoWCaZTassHTL1Nt1MaNu7hwgYzb+lsjsJocgahjZZF7Y/UF5A7db+03EYQ0NgUE0pgmmsXWNFpNWhz7mcaVG6Rssa09HD9Pf5uJ3I3ZILBV/ZLwUfCk49U0AqZdhFIYpZO7EBc6g2FjUW1z97OxBpoXXw/S9emRhYYtVR/SAlwPYQONlNVVRlrwXI2dfgflsv34U8/gy3//7wMAnnn+OZw7/wQA4MbVK87WQnmeq8+J0wxxTH8dx4lbAPLCwPcfbHa2L1SlXLJjm8JakKHVYmWkzNGcontem2ugzvOfFgIDTiaKwkDwnBprjZDHkjfVxtwsjWGdxRC8WZz3gTwjCkdrgYGlpE5ICeEqAISjPcqGmACZw5oJE4KiSKpxgQJr3HBVKh+7O/T9r732uktsZmdmnNVHnhd44slzAICTJ46h1aJzbLdaiHgDaa1FzFSz73lotdv8vbmb9/MsR8b1d9Za15es2WqhxpvLl156CdOsb//Od76NPe4FOEnsbu05ej7PU6c43fO7BAzQxbtk1hrhxg400J4iiu3qpRt4+yeUdP3ul34Hpw5RMvN6cBEzy5Skzc01MezQvBn5xxzdMz/TRI3tCka9Lm7fIQr96pU7+NHrVIpx89ZdGK6xKfRDShc+FFSrQ/ek3+9him0bfvXzX0CP79W923fBOAP63jaSuGy6O3TzhOd5zpHSJRkAACAASURBVK7F8zw0eQNcq9WIEgMwHA6R8t8GSmK4RdcSRgHA41enuVNPFloDvMGGsk75aox+qH3CAaV1EAdxEAdxEAdxEL/08cAt5txM3Vmfa1v1ATK6MgnUWjtfFyUIqgfKwjzeiUECpaGV8t3nDbQzDTLGALzzybVF2R1GQ+PoImXEZ8+eghHc0wgFhgyJwTrEm07iEXqGFEXhqCullCvKbbVabveltXa78dFo5OiqWq02ViFemd9V9Bcds6SsxlVdeZ47tGc4HOLwYUKujh496qiO8R4pv0h/Lo/LkwF+FiUzCVRGWfQldHxjIfhZXLt6A3/5nb8CAGSFwcohsnjXtupIDK2dz4QQFn5Q+pl7SDO6P8N+Al/13X0YcHHiwvwqpCwVFT9//i0+9N8HhZTS7XiMBXZ5J3Pn/hbmVwgmVl4dextsSe9FuHP9FgDq1qxU6d9h4JeogjDOY0Jb7fxh8jxDUFJdUO49GO+rNUloIZGjHI85GjP0XWfmp9Hf4/YKGxLDDdpZbfXX0Q6Y6lo8DS8o4WCLTq/sUZShVqdza0UNbN0j6vLNq1exdofM9M5+chaWrzfNR7CswBJm7NzHqD3Pl7C8CzXwScU5YYShQimyENDIMtrFyfHvKyS80tdIW8DwnCE0UqYEci9Awv4dhSwQs+9QZzhAi1WSf/DVr+LTv/pZuvZmDXVGrzfvrWN1ld7FYXfLjZO8MPvfFVv6h3loNJoTXyMUUMpQLCwEIxGn5ySCgs7h9o1NDBkBXZltwme0JdGp820JAee3UlPKIYpZMoLid9er1zFyijaNYsQ9yLINoB3xz5UKiGiMsgBXuX6GNDdPRr/agjqgA0CeGayzl1lvOHL9s9Zu3UKHVVHdTtft+s+cOYNPPEe99xbmphGyuVytFqBeZyrVGqfeFNY4dCgIAnghXdMgzpCWvZ8AbPF73NnZRZsRIc/zMMdU16defBHDZHJKq8hSaEYflSehUa6RBSyvaNZYKEZ4ZqamMLNA6GkAAY/ng837G3jrjdcBAM+dexYDpvyfOH3U9Y3MsxEaPN7v3bmJTzz3GABgdqqNtWs3AADrd27jxg0qlbi6tokb7E+XQaJ0WC104YRGk8Tubgc/+uGP6bpMjmlGeILaFMQd8lO7m2n07hC6bNIMKdOeWlh4rK4SUYjCMksEAVP2ODPGra9xPHL+OZGS6DGSHdUiBPzeN4IIBY/3PM9huYjaau1Q9qCqGPjYeGDCU+QFGizvM7pSbBlTwffLS4suYUjTbJ8zc3lBxVhZTZ4XDgLUJq84+DFTJAmqDAcA5QPnzp4CAKwsL6LYJbirl0tXexF5AoYhZt8PKmfbCSKJE6zdpMXs1KlT+Gf/9D+na7QSeV5eVyV129nZwfo6PfBGo4GglM0V2sm3e72uky4HQeAg2H6/717Qu3fvuvt2/vx53L9P11Wv113C02q1EASVHPSjmpZOEh+msfb/29hvKncBJxXd2tzG3bt0vYePHMbCItW4jEaD6lkb7WTtYRQ5ySaEcb/Ps8LxrkEUYGuLJsKV1ROOw//5qnYAYSpYU0rpZKKw1lGdVDtRqnU0NL8ajXbTUZH3bq1hhWnSmYaHTU1J2d27u7jLtGeajZDyQuwHgZu8gpqPIfdUGsZxNQY9D8orKQ8PHtM9ZMY5+TUWwgdA56bzXeQJQ9WygNemd2em6WHuCC2UZtPD3feoxm1jY4CTh4kCW5qZQ6dPvH6n38OSos1EJ0vxwa1rAIDtzQ1YhoyTfoEkpeP3TeIcfQsrEZRQtUTlGAzfbZLyInfNKCcJ3xMIOKmIlIUtjdWErBzXpIRlqlHoAgk/iyTx0JrjzwQhdkc01oRJkPB46Mcxjp8i07QXP/2Sqz2UQiDjJqTnnnwS/81/998CAP7H/+G/RzoiOsHCQnESGygBv6y/UgphY3JKy8KVzFAyxXNA3u1hmmX1izPTuM+L9F49hA3p9wYNaK6bssUIMfcUmwlr7nwCaVHwYm8B5OwmDb+GGTYBTTsjpLxgZ5lyybnRAqW9eG61Wzx0XkBP+G5GUYiglMtr7TaHvcHQ9TGbm5vHae7B1G63nYpqfn7ebZiLosD0FCVCQRC4RGzcSV9rjYLHSJpmLtEzRjtzwng0gs9zQyEFCp5/6426S1RPnz6Dbv/BtR/7Qho0uJat1WpgmpPoUZw4qq7X62OaFWHLqws4dIj7f83O4fJbpMZ65/olHD9NStfaTBubruYnwfUrJJ+HSfEP/5io1698+bedUezFH7+OLn9+c3cXd7eJLtzqDrDHYz+3EjYvadjJKTsA2N3bxJ27lFBtbW2iyfSilT4Ktm5ZSVNMcS2bNQaGa9lsLcTJZ58CALSXFxAndG+T/giDLm22wlYDU9M0J9lCY/0K1blu37gOjwdeUBTY5lyhW4vQTWm9z7MMinvZ6cK4MYsgeGiT2wNK6yAO4iAO4iAO4iB+6eOBCE+WFAiYpql5EhEX0j3+5GM4fYYURkuLSw55GAxih1roQmPAFfT9OEbGmXWWZhgx4jHoDx2KopRyOwBh4CizlcPL+NTzz9DvlYCtU9a8PsyQ8i468gxC3jkHYbSv39XDIhmN8NPXXgNARXDlbkOqin5qNisUoNls4v333wcArK6u4ld+5VcAfEgBBIOdXdqhbW9vY3mZsvtGo+HO7caNG1haIjO4paUlR4PFcexaV3Q6HVfM3Gw23W5pvAj5byKq3Tpl93PsaXHmzGkMGVVLkhH6Q0IKTF44b4w4HmGGLd49XyJh8zJP+M5wS/nSUYdxHMMxAo/m3zZ2wnYfUuX8e2x1UCFEZZBprFOg1GohArY139lZx/079EocO7aK2Rn6+fraOoqUngm0RsboY7PRRK1J47HTHzoEq9AGBd+PeqPlUCCj1f7zfAQkUujAIaa5sBBs0KcAyJQRD9RgGQKeO95EwB447/xgDXc26NwOLy5jmtuhLM7Puc1RnCVYWiQ1iPCb2NkkxDHQPtIee7P41vWzyWyKOtN5tWgalqulZZCAEWlobRyKMkk0A4kGoxyRAuIR3fPYk/B5J+8LCeUxHaOtUwE1ZxYRM93W7cdAc4nvT4qC5yHpNXDmNBXFTk9NIy+9tUaZQ5CU5+PXPv8FAMBnPvMZ/Pi7/w/9XgkIrtBUEg6MHGUJpP8o76J0HmNFliNjZPrGbh8+36vZ9hR0qfIrcnT2aPdei+qOLlZWOnVQX0sIvhYlBSQjLFmewDDtr4Ry1NjhuSa8mL73fpwiM6ycsdYprOhMq9YIekK62egCggeAEtahva1GDSePE5pRb7QwN09zSpalrvVKGAl4XtkzTSDkVkNJnCJL6R7MzMw4alEqCZ+Rn9Fw4Ir6lbRoMVULLaCcgWWBPOeSiKHGxjqNcd+vIYknU6EBwNlzp7HMZqXkEUXH/+CDaxgxujI9PY05Vhutri7gzAkqBTC9HrbfpjYmo1vX8Ud/9M8BAHudHaytEdPQ63Vx6BDRbV/8/Ev44uepd1V/bwPXrlEROFSAjPtnFcJDyjTpnY0t7HTYny6IAM1tO+TkrXoA4N792w6pu3NnzfnhzK+sQg1Z6CAAxWsVogiyHEda4CivbVNHV7GxSajX7iBGc46uq7kwi/kFKq4PjIDfobXE39lGvaDxkO/0kElGba12KH6RF44ykhAQuvy9xcMwnIc4LReuQafyfOQM+/oqwBybdq0sL7ralWGcIOfqbIxRCHKsjkVK6SBJa+B+NlY7GssY7arsa7UI9YgGfpbl6PE4bi/O4cwxNtXa24MqHZ59Cd9/BLMzY1yidXttzcnS/ajh1sdmq+V47jzPcfIkyyW1xuuvv+6OVamxLHb36DjD4RC9Hj3M+fl595mZmRn38+7u7j4aq3RjTtPUuTpfv34d0wwBnjx50iVgH25y+ouEo8wA14BuNIpx/PhxvpYR4pgG+M7ulqshkIBTcQSBhz6bPzUaNed8GagAETffkp7EaEQvYlEULgmwkwuz9kUcx/vqph4Ga9KX0X98z4Pvl9RcjGFGiVinKzAc0Lgo0gE0j2udFrD8QtZqdYS86BdFn+BV0DhtTlPSt7y8UvWTGmsECKhHenYa1vXLCdUcwJREAQPFr3EtqCPOCDLupEP0uGZq5ckWbr9Kk+C7167j+XO06B9dWsGQ4ebdtTX02DCu0Ww7KrDQCeSI1ZmtFkZ8fGMDeCXNUHRRdgLUiYIQdG6e9B7JImJhuolBj8Z7px/DqzPV6VmEpXuw57uGpKeeeQnnn6PFIKo38EN2S77w5uv4T/7oqwCAE4cXce0aSaBt8yKOnKJr933f0SS9Xt8p6WAtZmfpPfv0i5/CtQtUvwZTYMhjNssL6HKxyaoarUlCesqpq5QnIS09uzhso8OqlZofot3kmoksxpCfy84wQb1Nm7DpwINfmgEKALw4xUUOXUq4IZwbsycMbFGWElgs1mncLs16ePUC1X+kfhs13uRprWHLxMKTE4/VPMtQsAQ7ikIEUVnvWEeTa3sKYx39r7V2c18YBqjVy3VCuc2hMVVT6qmpqbFvE660wvcD2LIWSUtnpyJEC8mQqeb+yNkkZGmKDz4gCrfXi5E9QmJ++MhRlIym1jl2dtiNu1bDM8/Q5jwKIwx5kyS1RsZrgIj7UEw/nW3P4pmzBBz8y3/1J5hiFdLv/+GX8elPfwIAMNOu4+b1ywCAe5v3YbgOp92eQY/poa1+D7e47GBnbw/Ko3uuFFzz2Hqttm+OfFjcunEDS0uU1FlToLNLc2E/T3CEQYdTzz+FSyyB7ysPXtmnzmpc+953AACxNNCcRIRGIiqdpeemMcNmrsO9DnJW89ogQMRrRt2XOHGaylmu304x7NJ4EBD7areqXnD2ocrXA0rrIA7iIA7iIA7iIH7p44HpkJKSDKgAHFo5hMOrBHnbrMDWParOnp9pueLLfq/nYOJ9BnBCIC/pGKWq4lipHIsh+PsAwJMCPhcDKwDlp6JAgdF7nD22ihZTAhcvvI0h745yY6DCRygiFMJ5xYzSFLY8Bytw7hx5czQaDUfHbG5uocO70DgfYRD33fW6rvFGu/s2NTXlEJ7BoCr0FUK4jFsphfl5gvq0Mdjh/j1RGGGRi4QLA1y7QUVk1lqc4136Lx6lNzv2degtFTJT000U3AMnTjLX4TZNE1d83u920OSdmbW+o4sKHSNgtE0KH4r9SgprEHI7h1qj5ZQNZAjy6LxWv9/ftwP9qH5qP6NsKw0DlUSrye0vIgPDSEWnv+vMsIoid2MziTMHYTfqLVhGCfKsgM8721GaY2FuyX2mMpqDg90B/5GMwHIBlLepaRuo8//01Mh1FC4KOGjbz7RDKFuLS0gK2s2+/8EVLHFvr3oYQnBR6/rGFtY36Z2eWVgomxfDGokoobGZ14AtHu+hCJEKRvj8wol4jPExZNVbVPcQ+pM/z+XDR3B/i/jNU0+cx6//5m8AALK0h7/6y28CALa3t/Abn/s7AIBfffkfwnj0+f/7T7+O/+1f/p8AgK/83T/Ap7742wCAfncH0ww6//rsMVy7RWjG3bt38dwzT/PxE0fDpEmKgmmg0yeO4cgKwe5CjxydZ2zVEqfIEkSPgChDCIiywN4qBGzSOEgL3GYEqR6OsODTM1JCwvLcGe/2cJ8FE/1agDarklq1yL01gSeQl/OrzlGCi7nxK7Wg0RAJoQ9LLYPVGt2gD/opZLtCUJwpIuy+XnsPilq95hDTVruOqMaeT8LDcFSixqNK6JKl7t3ygwCK+55JIfe1NSrnypIyAmh3HzBqDCGd2aeEheF1qO578GvcwiCWiB2LIJxS7NKVqygmFxNi/f6ma03TbNYxxzTN8WMtN9ffunXLUTA33r2K+5cJZfzcSy9gytD1PvbMs6hPE4p5/rnH8cdnCR06dHgZN27Q+7q7peExKnLi7BPo8vGHo9jRzrdvXcddHheeJyBcPb1AENLYCcPwkRDl7t42JK8NyWjg+gTGewlivll26TBiRqVu9YcYFfQZqSy6fbo//dEQEReTH15cgWJF3t5whEvXaT0b9nrweYyrWojGkN6DIwXQ4H5bvicwLi8eX0dLRN9au0/k81Hx4BqeLMOhFaKNnjr/JI4foYRnNOo5583127dgS6fOwrhFP4oi9+VSWIChRM8PIDgZMLZq3JllmfvZ6Mq9OYoixFxBb/MY6zepmrvT6SMMaaFq1BUsN0/rDYeYnm0/8KLHw1iDo8wtK0+5PlxhFOJ73yc4+9vf/raDXb/0pS8hYgnrcFgttNQstZTnS6cGyLJs32ecE7UQ7qUvisJV9//v/+Jf4MJFggk9z8Mf/uEfAgBefvllLHIt0MbGpqPVyjqjny+qWhb6ufp9SVeNRn0YWzapg1OPDIcDpCk3ekxjWJ4AktRzfxuElRljuxkgLesMvBCLyzSWarWGMwz7eeFGrfW+QV/GeILz4YaNbgI3hTMjk6pAVKcJv9EIIRQb7tk+dpjeivMcTZa21utN3NskFU8Sp67fUK3WwNz8En+XcOOanHSrmdVOQr2V15hrWP5bCwMf/G5ZjKnSBIRgii2N4QlusKcC1Jv08/ZuD9vMlwusYWqKJmvh+S4J1SaHycraOoGiS/eq3mrDsN+X9g2Ua5wawGOoXQoJA/quQQzEj2A8eOLJF3CIz/n5l34Nx0+fBQCsvf82Ll0lqnFxaRXHz30GAPD1P/93OHrsOABg/c4adu/QBHrn5gfY6hJtcPnKZSzO0fM6d/oEwFLnN974KVKuEfrkCy+4hqECcH2emvUILVZb5r0MPg9QZTW80nKjiFGPJt9gibH6n/FaOaUUdvje3ukmCPnfZkIPNf7idi1Cws1tR5AwXDeVQiHnGhSjMwRl3UyzBsVjLE8S5CE733sKPa696He2EPHCfGQuwLCk5QO/MhtUyimgHhaNRh113vwU1rrNjBABQr7HrVbTva/D4bCy9oBALaoc6svPSFkZ3aZpWhl8Ko/7NNL900WlztScnA6SETJuuptnqUviPM93f7uxsYHsETKe6zfWEHIt1fLKEpYX6HqvX7uO7R0qZZiemsLpkycAAO/91Q/xzgc0pz/35Fkc4fXm0//Rb6OxSLVMv/vVr6At6f68+cqr6LESavnIccwu0Rpc5AVGHdqcD7Z2cI8d/K++/TZ6uiwfCWAtlxFEdQjJyk5duAazk0anU9VZutrcLMXuFs2Fr61twyq6dmVJ2QeQRYfHO6blhXk0SxorjDDgTeSwP3C0VC3wUe6wpuZn3PqabezgymWql01ksq/aYVwNXo6TIAgeWqd0QGkdxEEcxEEcxEEcxC99PDBt39m7j/kphul7G3j/PYLNiixFjYvhQi9w5lxiLCtXSmJ2nuDg2YUFWM7+8iwGDB0zSQtsrROMniQDjHj7KAoJnfAOYDRCjZUYRZHizl2qZO+MRrC8M9/tDWBMSUVJeDvdiW/A9va2Q6J2dytjqmRrG1//+tfdZ8bhwC99iaD2e/fuOU8epZTbeURBiGCs9UaZdY53LQeoYzpAKq1bt+i6Xn/9dXiMXPV6PXzta18DABw/ftzRSdsb93CSdw8nTpyY+FonD+HQm1E8dIhNv99Hv0/3djDoO/vwIkuRsS+MHygEvPsRMkDKfi55piEY3Vpe/gROnXicPu/7gK3MG38epdbPo1grd3rtZh2LC4Sc3bt9A3fXCf2Qq0sYcZ+pYSbRGTGEPTeLUycIXWvVagi5gE/6dVx8m3Zx7Zk5LMzTMY2GU7bV6zW02rzjsvKRVBMwxsH3OgOGXFTez2IYpgHSLIdmui1ADT4X+upMQzNlo4V0BZpbOx0on86n1WxibpYKZa0Q6A5ph2kgkbO9ezMPYfm9HGQ9LE3TtWuMnKIjzzV8xaiCkUhHk6tf6lPzWGKvmLA5i60OjZ0fvvIW3nmf3o//6jd/H7c36Bn9L//z/4Sv/C5RV0uLc6izwuvV//BX+PErPwAALB5exWNP0liLpMSzzxKNpa3FN7/5LQDAoUOreOIx8oWxVsNkTMmmI3jsUVOrh2gwOpTWfQTMG8lsAKknH39WG6cWtBLuZyEsJO+W73aHqAkaM0ErQoPVVToQmGKU5J21TbTn2VtpMYLHu+Kdez1YHhtxYrC6RIhlLVKI86qrdIPHkjACktF3W/ShPfp8piJoRkCsgFPpPCx0nkNndD8GgwGmuM1F1Kg5w8tGrV6hW7Yyfh2NRlBM8QlRIGGKr9ZowlqmzCGhfKY/vMChcVk6BFi5mOu8amVUUAsPAAiiEAUjYdoadBht2NreRvEIxfXCwPm+Dbo93L9BJp3b97fgN+k8Hzt5HGeOEop9rSbRHezwdVm89J/+PQDAkScfh2U0Lk5iXFsnGsuGAc6cpz6F7cYUdrcIrbx+/QoSnk/jeIib92nttMrDfJOfW66d4iwfxeizSjYIAuePNUk0GzUMGQUcDfoIuMN7KBV8nq+zTsetzTO1GsBUZiaoSBoAplotxGWxf6+LkCn0ZhhBMCVbCECGbMgaj1Are53o3PksBZFw4hYh5P4+hI/gT/fAUSxMjGtrXDcS+NDgCn748NkByfdU1T8E1l1cUeRoNEse2oOIqS7lyMo8PvNrnwMA9Ad9fOc73wMA3Lp6DWGLjr+wtIQ6JzOjQR81HhSdfh/rXN9SQMByBXquDcpm9vUghB5NbrIURZGToqdpCsHX8tbb7ziF1Oc//3n0+/SyXrp0yZkErqysOEWVMcb9rQSq3lJjCc94aK1dopXnuWswKoTAE088wfewwIULFwAAFy5ccMlNo9F8KFf5c8VYQVXCNVHdThfDIV17nAydGkdIu898teyfY1PtXiyVwtEwwAAtNvV7/LHzWJhfdV9puRbEwttvhPhIJ/4of2fhivlt4e7l009/Cj5D9zu7W7jP0O1ub4Aemwr+0X/8j/DpF14EANSlB8V/+61vfxuXLhFPf2h1Fe02cdVzczOYZpm+1rmrFxolGo/AaAHSIi8bYgofOdMZha5qk9IiQY1pOG8QQI7oAdVVE7KUihcpejyWjywsoM41NhrkVAoAfhhAztFi2u93UfB3Wd1A06N3ZSAMTM4THGL4UdkTTzjHdA8Fsod6n1bR72wj44VqeXkVHk+ynq8QRHTM9c117LLhXqMe4kc/+B4A4Le+9FtYZbfyq5cu4Y1XfwIA+N0/+AM0We0VCg8mpXN+9tnnsLrM0tl2G+XgV1I6l1hT5K6WqQYJxfUEkTRQ3D/QswlC2Zr4GvM0c4pPJZVbaIWVCDlp7A+HuLbH9y3rY9Gj+x+GdcyxY6+6tY0fvUoL5FNPHcPSMo0x2WihHtFJR56ELR3QPYWAE9EizSE5eRPKQ52fV6ffgwp47vTqrp+hFXZiE/SiyGHZ/dpq7Rygm80GipKiAtDgZyIFnDFrUeTocX1kkXswJc0kpevlJIRyNWsyTpFnQ/7bGJLnETI/5ITOKmiuQczyDJJpve2dDq7fJmPOUVY4tfAkkacJcp7jsixGd5to/swAZkS/P7w1g8Oz9C4+8/w5HD1G1PHTzz2Fo0dJop7kGnt3aS3Z3d2F4DW1OTOLXU42rlz6AANe82Zmp7BylDZbC1mO6SOH+Rwsbl4nF+s3fnoBt2/zJlxIt5lMsxiPMuEUaepo/3oUQJUbeF/A8nuAJEU2ItoLNkbA569goTgPGO11UJTNkyGh2D4mhKLxASA3BQouiYDJkPHCUosNmjyP7hYjVwKgVJXwWGOc7cd4t4OPiwNK6yAO4iAO4iAO4iB+6eOBCE9eGAxzyqDffO8tpCDUJbUh4pS7/NZnUGdYf297x1XRB0HgsubBzg7qBcHQh+daWDlMWerS6gKa05T53u2+7bos7+70EKlSDaIhulx0lidORWO0heWKew/KKVI6oz4G43DXQyIMQ2f0lySJ2y3fvXvXGQYeOXLEXdfu7q4rMF5ZWXZFucBY5biF64UC7PfKGa8uL5GfOI6dEd+pU6dw+hR5D2R57iiza1evYnGR4GFfin3f+7AwospsLSqTPgHhoOWxGngIWFfA2mjWXdfqPI9hGGKUYqzo1moor/TSMch4B65kCI/prcOHj+MLX/gtAMDjjz8NVF3UKlTn5zQepGuoKvjLEKL6X4sxUZQAAlV23k2wcJhQi7/zua9ACRqD3/3BNxFzwWrbeJjlQt/nnn0Gq9zVeGt7D6nPhaBzNTzxIqkszpw8i7lZeifmllpYXKHdaX+vA69Evx6xtUSz1sZOn9sceIBg2sIWFl7BvidJHYj5eSYhmtwRuyZCBAl7ZQ172N2jHekzj51CyVSkcepg6FEaU6diAEq03E5PwcfRZRqbm4kHy603oHyYrFSrCSjBna0RozBVW5aHxa33XkPYIGTp9PFjCNnwUogcpqBd+ve+/U2cfvI8AOAf/7N/gmvvUWfoy5cvY5YpOeF5ePvNNwEAz7/4aUez5ybH1auEiiwfWsH5p4g28KSs1KXScz3R6lPTrrO13svc8LSFhmYqRcg+TDo5wmOsA38hrHHF4dIKhyxFUQQGWHF7lCLz6H+m8xFqNbrPRw/P4a0rNA9d/Ok1nH/6EADg2IklCFbOaD9AbMpC5QCKi+q1TZyfS5blaDDqUQsD7JTCgpZyRagfpuIfFLVGE02mbcNa3dHz9UYTbaa3trc2kXC7nkaz6ah6owsIRgPi4dB1SA+DwLX3GcUDRHUa1+koRlT224qaECX6LCwC7hKepRkEv9PILXJeMy6+8Rausw9PEIZI88mp1/v37zukOwx9hDV+V6LIoYl7mxvYaNI5PP3skzi0QqxGvRZim40kb95ed2NzenoaA1YLv33pDXR2aT04dugwnn7hE3w/I8yV3jieh/vsGXfp0lVssnhifX3d+dlBKkhG+6TyoYLJaEkA6PW7rsh5emYalierQZ5WZQo2R8QInl8k8BjxLaxEXvbwEhZcbYLCAhnTv7kVp5zL8gAAIABJREFU8MYYhXbI7xw0pChbkxjnE5ar1M1VVgiHvBbWODGBtACKB3dLf/AdEAPU/dIUykPDZ2g77WKDpaetoEC2Sw9w9+51rM7RIJ1pNRGndDO2GilmWE20dfcO3r5ATpM7W4dwf4P7Uk0JyJAeuI57yEsX5XrNNTiMrIewqEzqyjoMWIHAY5WFkLQaTxjz8/POWO/11193ioHtrW3MsyT89OnTjme+ePGic4f2fX8fXeUmBVvNatbafTU8ZXz470oK6eixYzh7ltQpO7u77oXY2tpyTr6nTxxzDsyTRCGc8BuwtNgCAMZKZiz/P0DquRoff3FpAeV7Im2BnBUPyTB1RntSGGhN52a0qYzEgjbOP0U1E3/4x/8Fnn6GXKlrtdpYfiLxNwo0VpfqqDYhqKEqAIRCohHRgjU7P4/uiJKBQ49NYeYo9YNZmj2Buk8L8cLsAjrsUvvqzSvo5kR7jYIcz/0OyaWXZxeRjyhhf//ONRiuwWjKENK6m1w5Qk8SuYey6WSaJ4gK7pm1JxHvsr3BKIQK+ZgtH3lO3xvHA7RYbuwr4ZR5w2SEfofe3fXNbdSYgrawKEqJdBAgYnrAZimiGfrbVlDDZpfrEgoFcNIVxzkCxbV4soApJr9GPerAsGnhnavvod2mBMaXFpoX4t17m7jpkRHbH/+Dr+L3fu/LAIDvf+sbGPVLVUkfV69RL6I3XnsFv/d7lGjXfB9//mf/GgDw67/5JRw+Qs/LFtopBbM0d8Nxevkwjp+lMXDplS1kvOjmaY6CHYmNzPdJpR8axjgDSWPyyjFWSESlMVyzCcnzbrcvkCZlA9MEfpcWttn5Bhbm2U7Bl/jU+RU+DnCTje12CoUWO4EfnZpFk/s/CV9hsEcJfBoPkcQ8VwU1CF7kLKp5C1YhYKXNw2JqehqRax6cIeIEwA9C1DhRWVpW6PIGb9DruDocU+Ruo5hlGmFYJukjxAnTuZ4PwzUeRRbDZ6vwZrPpjCSDIECD1UkWApZr1kbxCO9/QGPnlZ/+BH2W5jebLWgz+SZ5dm4ax44RLdVq1TEzRfd4YXEJAb/Tb3zrG7iV0j0+emwZS0uU7F2/uYFLV4j69sMaVg9Rorp2dx0XOElfWlrC579AY/P0iZOu6aeGgeG1zfNDbGzSPfyT/+truPIeHbPINcoBrITn7FHCWgNqwmcIAGmeYcTJRkM33EY9SUfAgHt1xRki7hNYFz5Svs+FFehxjVOvSGBK+s8AJTcqhITiyTkSAtMBjeUIEgA7pguLHtP4zdk2whbXMFrjnrUxmq8ZUDaoTF4/Jg4orYM4iIM4iIM4iIP4pY8HpkOnj8w4Pxwh4CrEoQI02pRV7ezcgacoIztzsoXlVcp2PU/gxg3aLW/cXMPJX3kWADA/dQS9AZl/bb95C6+9RsWFU9MhHn+C/AmEsii93pUsYLj63sLCYxzMaA3FcGaz3sRcg7632Wi6osBJol6v4+WXXwYAPPXUU055NDU7jz/7838DAOh2uw6dGY1Grph5MBjs89VxSA6EK+QeryZXan87gY9CfDY3N50/QZqmjpL5/S9/GZ/85AsAgENLiwh/gaLlqoXEGOfzoX8PuBvt4uLiPkvyjNVbvd4QLVbFSE85q3VjFJ4+T+f58su/j898lvoSLR86URlO2kep1v2bCcm7DmkkbFYWi/bwztr3AQCpWEebC6tVOMTU9FH+yzo0G2z5kBh2WdUVKsy2CEUJwggbrHLq6hzdAe2UgiiADspnbh5JXVYUASKfUR0DBDmhj7v3hoi5T9ZcW0E16fh5YZH36Dy1FVjmPlmN6x9glND42ur0EXAB4vvXrqLB53/00GHEZWf7uTmAlRXDfoz2Io0L5UVIM/ouk1mosim39OGVXc5zgbq/NPE1wg8dfbp+4z3nZXX1ynVYVplJ6WF3hxCMH73yOr70W78DAPjjr/4j7DHEv7G9g3cv/q/0me9+B2++9rsAgN95+Texu0UIybe++Q187otfpPM0gDJVn56ECyjbjWmceILohPWrl6FiUsV4Eih4Z5sLH0k2OR0CbSFM6V8knNDBWO22n37kO3NCAYVhTC/XfeNjsUX35H6hEHAvojNHmvCYgr6zvo1ej3sVpgb3t+g57sUSAfuzCBgUjFal/T5yRh2bh04gOsQeZhauUFVYIC8m81MKwwhhVBqMStRKhMcPXM8sIYCZOULvsjyB7bDP0OycM3jd29l1pp6eH7i50gqD4YDmXymqeX5ru+/avNSiGpKY/Wp6A2xv0bt4fe0u7jD1M3v4OJq79O6OOnuP1ALlqafOY5H9c6QSSBklvfHee6VQCXUlsMb0qcCvY3eXEd/L1wEu3fDCGt55j5DIXr+HZ557HgBw/snzmC3bCxnjCAsrAMH8UNyLUeMWEvWw7uaSKIogRHXfFNPyXhjCr5VNCx8eYRC4tXB3Z8etGb4RiEZM5/lN1HnO0EUGk3HfRAsEpWo6B1yLd0hYnihqUqLG51wTEh4rTYu8QMDKr+mZFlTAdOuxOYwYoMp14dZVUvnS75UN4atqrfqoeGDC8/lPfd7RN9po50icFQZ97u8SxwUWuRFcvWZhwcmJsWhIeiGzfoQzh2nCnZ2OIPgFSyKLRo0hN6+OGYbdhUhcfYi1tlIACYL16Hyku1Cdp1jfoSr1YqNwHPwkYa11N6808wOAqNHE6z99g36OIsTcn2YwGOCf/NN/DAD/H3tvFixZcp6HfZl5ttrrrr2v0zODGSwEBisBAgZBKUKiZZumFTLtcNiW9OjwE72El/CLHPYDrRfLjmA4ZDFC9BKmCYOSHFxMkQQhAMQyBGaA2bpneu+737q1V50tM/3w/ydP3YvuvtUQn5rnf5ipe/rUqcw8ufz/9/0L/upf+YUy2aBSEHLBh6eIvjhxqD0uRF0I4SK//p+vfc1NtCAI8KFXKaPy3/7b/yFanNBLAM8W0nzi94/TWOVfxyOk6PPqyqrb7MjPiK4bY12E2r/+b/4SPsdFVH/05ttIOaz3Sz//i9jgg1bnGZQq+/sXKcs/rrzRsM+R9hTAodyzeILe5B7dWXsIcARCHsdoRnQQBHXfJfpb31zF3owOwcRmjjLotpvY2qMxa0ofDV5mNrXIuAbTs8aVSSg0A1of06MAGa/+3v4e0hEXLFxvIOcCl8lsDj/j6AU/QMSU8trKGnZYYZjHMWrNsiZbUdQ3SRIXldhoNjBkpQ4qhzdjKqepICynl4gH8Hw6QLutDmqGxuFodACrlu+l11iByNkvKOnjwXtU1PftN25DsdEjpHBpEna2dzAe0j50/fym8786d+GaO/yk8LC/R+8xzYBGg97jt7/5Ldy+TRGoly9fKTNgC4uYx0GJCJtXaf29+pkv4/b3fg8AYKcp/KCcy4UCvIwYa2GYNsdCjSihVJloT5c1gVRLwa9x2oF5iB6vRWsEIjYut/M5dm/zOzI+jMeHpRAwnHbgUAeY9mkPazdCdJnq8hrr8GpMZTY60EybehDwOGrM5Lp0HzhFNASMpO9Zz8KyYgjlQXnUjzCsYcRzKk40kqx8dsAFQ9fOnXfRs+12G/Uazd88zzHlYrB5FiNm6ng2m2HA0Ux3evcwHRNdNRmPHX02Ho9heNW1mh3UeGpOtXFh7MvI3t4u7nECXKUkZlw3sd8/QpdrfX3h1Zdx7iIXx/RruH+fXDfiFNjhjObwNC5w9YJPf/gVXLxAUVe1MEJa1IcCMOU+xtMYO1zw9Oa7t/DoAT3z6KDnkqdqbSF4P1NSusisPMuRi+XnaeD5CJgemk+nLk1Jp7GKLiux7Xobda6HNZqOMbpzDwAQ5hoZR/7lwoPmc9EqD4YVkgzAvNgapOCMnEBiBK5wUtozL7yAMWjO+usR8ojPfmucEe57HpIiuWku4VWUViWVVFJJJZVU8pddnqoOfea1zzt0hZLCFbllcud4ZxdLXAuLInW+tQI/9yn6/Mv/6hRKFTCucRFVRlp89pOfA0CWWKPFzTEZDFNp1tqybADIK7uQgrpKk/RY3ZVnQRAWa37N53McMiz+/q33nXPvb/7jf4yYHbimkzG2HhKa9Md/9EdO0/R83zmhKikdCmCMce3XWju6Kk1T9znLMvR6BLv2ej38xj/6X+l+Y/DhD1Mkybe++U1cvkS0yuWL59FoFE7ap/fVGuscxwTkAsJzvEZOgf3YBQ/mwWjootIODnqQbL2dPXsGf+fv/l0AwC/98q9AsNP4Rz/2Rbz11lsAgD/9xp/ik68RTHvt+otu/gDl85+MdTxDIrAnDMEiCCblQm03CFiOZPFChZDRg2aSYsNwDpYMkFOyGEW2BakouVhzo4aM84ys5znWGAHd6e0hWqPrG2ELF5lOMgnQmjDlUQ+RFRWdn5XWm8+QDTmyZr+BrcM7AIBpMoAwHNWgLCzD/EmeoM79bagWEkYN1zZXsXtEc7zX68HmZOlnmpxGAUp4GbOTaK83QlznyDzPIt8lNKnzYgNCcfkJ4Yq3I54b+Jw/xw9DDLjEwzIyjTU6/F2J3CU422j7mPWKCJAMLU4O+sqVsxAxWftmHkMx0rLe6UAyDfe5L3wJr32WSlHcvLuN7T2iNB7cfR/vvEXBEx96+RpypjXn6Rwxo7nxPEaTLecXP/2vQDBC8d6b38O0R7T8fP8+pvHyljOFDpaRmsWcNKA9EwCElG7vEaBcZwAQBWWS1zzX8HlvNqgj1YTq6FQ7VF54kmsQEc2+2SFHW+kpxPxd5QcuZ42nyn3LGuuc/KWUS5dBya1C2OCcQJEB+3ZjZ78PIQhpUcI6ZKtWb6HdZurk6Ag+h9ysrK4j4j2u1uwgYnR7Pp+jKM+mPOVKmuSpQXGcKRlizujsm2++DcVnUj0KoHmO5/EMlqtyW2uRZj9Zf+9J8t6P3gQKGlMKCI+ev7axBsXv6u07d/HFz9HZdvv+I+xzYA88HzV2cr5x/QouX6J3suh0PZ3McXhI58Ebb76BO1xDMY0zzJhqHvaHmLLz8DyeLeSAs/Dd+/SRFwl/M13mz1lC4unUMR/tehOGaaao3gZCjkpcPwPDgT3xoI/9PcprVNcSll0iMhPAFChvEEGyU3yWZWWNQSmQ8tyfBjkUJyEcJGPEls7dy34dNT5rAynd+ReGkYvgSyaJG8MnyVMVnjzPXGi5EMItQt8rebJjRUJRHsBSSoApw/WNrru+SKlICFy/ygmErHHKFeyTjrvjVwtaRy+EogkBp2AsK0XbPM9zC7HdbODf/RWqY7Wzs+2itKJarazlYlFGYyGHdVSacJFiUsrHjs9iXS3f910x0P/8xRddyKanPKxxaG7ke4hCly3vmZQ6axcqOAnjlB8phdvgSBHiNiuJwyEd9r/zT38P7968BwDQqUJRXuflD93AuYsUtv/d1/8Qljnbq5dfxqXz1OaH997Bb/7m/wwA+Gt//ZfwydeI9hLy8QmiFoLLF6789DCkENRH+lzOUyEEAn7qCgTUFvVPvb2K6zNaSJntAkzN6bmF5qifHXkPmHJUwCDBOY7qqs9GaAR0mKrwFtantOFOE41Bne5Z/fRryLpFbRvAs8tHhmRjDyKhQ21wuIe9I4K2PdlEs04RZPAMZMibuG9gNW0uoacgfDrEN85tovGIFPbe8MhtgTmsKzQ5nI5hOcxczhKXGFJIH/Mt9gNZtZhOiTaoK8+Np7TWZaH1bAMZR8IsIzYHUNTzQuao/2YkcG6Vk3QmOZo1ev586z383v/xvwAAbly9iot8eLx8voMXLtIc1PEQdXZ3++a3v4U7t97h62PYhJSlmk8hswDgtxuu5tvWox1MhkwDNeu49HHyR6ttXMY73/l9AMD+3gOMOTHnMuILSQWUQWNeTnjrKF+44Gwwf10qQh5v6EpaR0dLBeR5Wc8wL0KCtUZhTAhV1nSDMQiCIlmbKqnmwHfJ76Qsi3fC2IXksk+XqFZHp0vzNDfAnbukGB71B2hxEjkhNGpF8eAgQr1ZhPULR0kYIzHn6LSwpqF8avtsHjvKv1GrIeMzIKzVcZ7poW67jd4erY/JcIB2h9ZHUO+4ArC5Mai3iI5Roxhpsvw8zdMEAU+YlZUVrF/mQsGtOi1sAL29A/yT3//n1J61Lq5xqpEvfeXLLrGsTjLM2E1k0J/ggBMYvv/uLbz++usA6Owp3mEU1eDx2WstXKFrLMwpCOHqninPhyeKigg+0mcg0fM0g8/JPmv1BtbZbUUHIe5vESV39+YuLkzICK81mhAXaRz293ZdWLqq+S6ZaJzO3fjA5K7obiCEO8Nr3S4EU4EjaXHrFvlBNTZrWBdMwyoF3y9q/WkEXEcz6tSc8vMkqSitSiqppJJKKqnkuZenIjxyobrzk5Ac4LgDbfF58VpB3Zz8nhAAstJzf5HmWKQjHvd8vqv4cOx3f1qnWM/zcIHzIhTWwsk2n3QWXkSunvS7jxsTKeVjry/T9mftnzWlNUhOpKXjbDHmRG+R/jscjfBrv/b3AQC/8Y9+Cxl75SsBGMYEjE3wz37v/6TvzgdYYcfH79faqHP+lHtbD/Fwm9CEOE3x8kuUMK7dKVP5H2vnT/z9U2YiZCH24PEIT8iIVCfROPwBle94/1YfKwyVesqgprhmD0KkMVnxBwfvQ7NTq8wMlCKLYkUBocfohxigy3WsbJohX+Hf1SlmTMF4IsQzlLbB7EBCeuTouXt4Gxnnq9nYbEOMOKGcTBEGZP36ykOtRddbGwnYkER/J0XIFeFHB3uYH5AlnCNxUTmJTmA002TxDDk3tNlawXzO+Zb2xjAeW9orNYQMQyvfQ50dE5PMoB4+PWpiUbJZjDikMZdaOuoiVMB6i3NxdX3U6jSewWwL8TZ9fjC4j95drmLfbuLjV+jz4fbbeONP/ykA4L0fvIHp/n0AwNmVFlaa9FvIjUsIKUMPG+ur3AaLR4+IOnz44B58nyzMlfVzeOWLFB1WW1vHn/3+/7V0H401ZZSkkDBuKYtj9PLiXHVOzrbcIZUnXXCGFQJCFpXFNRRv64ExJX0tUaLRBs4hWUlZBlsIijoCCIUFuxVonUOe4gxaSBTV0GgQkrN/WNKZV69cRcSozmw2cY7hQihHwYSRcVGgs/EUNXa0Hw0mZe4iLSjzJoDpNEHMDsyQFk12wN+6fwu72/Te1rshNrs0dzoNg5gTPc5TjalkB/BsXlaGX0L+jb/1NzHtEQLearUgoyLzHQULAEC91UHI9Gy73cL1q9cAAGfXz2L7HlE/W9tb2OZakltbj9znyWCMjFGsKChz4OjcYFrsPVKi2DGNAaQo0WLHeIjclb6RC3TlMpJnObwGPXO128WF83Qubh3su6R/WRa7MhnXr93Agw/IkfuPb3+ACb+XZruFq1wSyVMhoojmRhh6GHICxt3tR26OrzUbuPYC3b/X20eNKc5ISkRB4ZhtMOcafcYIBEx1KStcPrsnydNraaFcYEKIY5+fRU4qSmURsPIlLe791poToculIiTkwhccNyYc7Lss1/y49i0mCXxSFNRJxeZJytjJ75yURdrt5PNOG9/F7y6TAdUY4zayn2gbyv4Wzfy/f/u38T/+g/8JAKBji4jrM41mY7zwAiU4+7kv/iy+/wOCbNP+HrZ4oRtPQnAW6FqnC8MKc7vTcf5O9DuPi2I7oeIUf/yUQV12QRE+prDb0tdslhtkHIHlbaxD8YJMZ33MM+qThkWDD8GNKxcQW/a98nKYMXHtt2+/jwlHU6QywoWXSbkLO01IVhLjSEJzIi3lBc9EvYY+sDcg36j+6CGiM9TmF14+h/17tPlGHUCq4vBQaHVo8ZtggofvcvZjYXD+Kh3cKYY44tDc9loDCdcLmw4TNIrNJc8h67zpnAWQFXRrhoAVj3pdOUU41YkLRa75Ept2+VDYfBojOkOweJ5P4Vkaq5V20xUX9G0CyYXBIjtHJ6QxDMUMgx2iBO7e7EPNiF48V2vjwQ+/DgCYPHiAy22aD+cunsH8gOiWm69/Bx2mPfxOF1bQGPpS4Cr7zbWbDRwdEe1xNJhgHnPy0c551NsbS/dRL2yq9if2RRZrj0Hvzk1AwPlqeIFXKjPWlkqLkpDFt61FbgrfRgMDXbaBn+OHvjsshRDwWbGxsLBFdI0US5seaZJjzvMoS3OsMiVvtHXKDCzVFAOAsc5QrMUknyPm+eUHkTPS4mQONaP2xnHsssxLa8F5B9FsNrC3fQ8AcO/ebWdk1xotNNdo7Ub1GkLWMMVkDtVnGkt5bjyWkcsvvAD/BicDzHK37uN4hiaHab/w8stosuKXzmNXJ+3WO+/jzR9SgsHtvV0M2HVgMct/oAJ4XCBVa42MlTEB5Sh6z/PKcGyp3V5CvrbcNm2RpJwE1GhXNHgZkVLCZ9rz0uXLLmpzeHiIgH+roRSGTB3uCw+HHGkspUKNDZfAC/Di9RsAqBCqzyH51ua4w9mtDwDni7V17wG+HhNd7IUKZzly29MaozGnI5Ae8qKe2kS5WogCFtEpFQgqSquSSiqppJJKKnnu5akIj87zMjeElM4iOUlvPU6eRu+UCI9Z/IdF/73FJzlvbisEDAoY97iLa4EIGWufObHdMpTSaXTVMijNk3LynESAHvfMZdvzODELERdGCPf5mHO1UJgy77Gzs4MvfennAAC/8OVfQMQUxRtvvI6P/Qw5Vwe+xM23e/wDCQIuO5LpGBcvEvx5ZvMyLl1+GQDwS7/07zuImtq/RLv5PT5DKpdjcvI3ynG2sOwEmYQGGx8mh8JXPv05JJwk8Bvf+kPcPSKINoePD1/5NADgk5/7JMCRHmE2x9EHZEH9+IeP0BuRxeh3zkK1CSFpdVvIC4Nb+uAUMshMBuEv37G9wRZiThznRwKdNiESs5kFB8ih1jXwAq5t07CQnHdjNssxZ2e+tfMWzRWOVJENXLhKFvjRcII7t6j9Riu0g6LidY4Wl4upbVgITp6xdqaO3JWQsPAl9TfXc0jOyROJGnwsj/DIXENyHa6gIdHkOlw1tIGY2hNPtMuZk+YaKSNmvifhqSKZZIqAP9d8QM3IMtyMgPAyjVsUpdh757t0/6gHnx0fvZUNRG1CBOI4RRhxNEi9CRFSX1SWYOcWoW3vfu+PMDvYXrqPdiHgQC4mKz1B9RfXjTEOtRZSwHcUhXLrYxGZFrBAwYAZi8KmFbbcR5VAmfwQAoqdRwVKjFWgTIoohXLlGU6Tw8MeIk5wl2YaoqBJkxQzpkOzJHYO71pnDn3OstT1IzQChlF7XyloRjmUlC45YTyfocUe6YHnYTCgQAHfl6hzVJfOcmhJ73CcRy7PUD81GKdFwIzn6owtI7/7B3/o8u1cvXgJF89T8Mb169fc+4mTxEXz7tx/hN4+oY+j/gB7O4SEKN9z9cI8L3JO4tMkKyOTzUJpIuW5wJ50OnHXszwBOLBACs9Fwwoo6MKVIQfssiXvAZw5e8a1LUkTbO/QHLew8Aun+zjG97/9bQDAW7UmNP9ukiXOQT7LUnz7m98EAIR+SBXcQYlfk5T22jBQGHOpqgePdnDAARkf/9hHsNamWptJksAw4u55gau67knPIaZpnkInT6cmTyFmH0/xLCbrO3bQL37zCfSOoSJYAABls4V4BLHAXCm46IIFPwwrBKw4Bvbyb5U0Dz3/p6fcnnbtWa4/zrfnafcsXjtN4XlWSjEzxiXckgKQsjgYKMEYQApkoZD8J//pr8JnCDYUoXtHGqmryfXVr30VoxFPLpODkUcI5WHISb/8sIl/7W/8CgDg8uVXoDl2mfr4k+004jjFposN75l6W4oQ4lhyx0KkVAgC+jusA4OYNqP3dt7BaEQUz82Dm9g7fMD3tHF/l2rV2B+ZwrUBWTzFYJ/4eOvP4dVpw/IbwCFTXRNYVyBXaQ+igJuNhpbLJzu7ef9tXPsIKSc3Xl1HrOk5k8nERUJ1hULQKPzaxoinvKGLOtrnOXvwGYMORzwFjS4mY9pE+pMJzl8imuyoN0J9gwtHQqLGWdVbDYFGEfHSzpGnRVhvjk6LvlvLJEJWSGq+DzSWL1g4jecY8UG4WqtBFNEmAvBBc1OaDDmnDohqTZcgd57ErtZVnmXlYZAkSLnWVbdRh5hzyJZNoTmSLu7vY8y+HenDDyCYek1SjbSIfhISHictVAoYsi9QdvABbPJ0v4FFEcBCBKdye6E1tuB6KbniQrb4ItTW8zynGFmQDxB/2X2XHlNUJy23VAN7rCZTQeFoAH4ROSpkqUSJEv43ovzuaZJlOXrs3zKZJWi2OAJLWld0cjQcYMjZ6pVSLup1ca+czYewlt5PLQoRzzgisBa5dCQKAFghvXf3FiYDOijX2gFGbNAMZkNMOAko0UGsXI3nMCNaoxI5vOAZaml1V3CefVc+9pGP4cYlShg4nYzwDtfJeu/9m/jgXfo8641c5NxiluDQCzFlAyuJYwi+PkkSpEWUk1JlNLIu/SwX6XDPly6lgVICUpSpUvygoMB8+N7T6Z5FaTQbGDGN9aO3fuQis4OwTL9iTI7DQ6KOw3Di0ghoqxf8iIDtHXrv0go3p5QiPzQAaLebzjcpMwmU5GLIoYLmrOezWYqgTteDwIfnMY0lJAyPVZLOTq2yUFFalVRSSSWVVFLJcy+nmF+Pp2CEEI91uBQLTqJkKSx4/D/mqcZIh8Ys0mTHEiRpAlrpHglVVEm1GmDnUQEDyziAeIaaKH8Rcho69NNEXf1Fl17ItXWWsCfgKkNLAWcZSmFLh7jAd1bizMwdYCZgELKld/XaFaxucCTMTg+KsR8pBVptclo9f+E8OitFTo4UwIKT+uJr4ucbax16QgknC6+85ft6cugW0bVFB2/2w8WKB+zdJ+oq7j1CxpyTSkc4xw6c9UDBPyJL5nAygi1ga2QwCVlB6w2FiK2gRKXINVmkqe1gxtnX/Fy4aCBIjfwZHCXbKwZ+RPM98lowhssfeImrECx9g3nGVnGoIbhitFAaq2eZfB60AAAgAElEQVTJygrXLCTXOmoGEUKuvaWCDUyn1M7mgUVnjcsKxBZ1rsC+tllHDnY6VNYhf77QiPgeX4SoGYL7WkENmVg++sWrB0i4Hg+CLqQidEBkY8hi/voBJXgBBSiMuUSBJ6xLnGhyjZDfRRREaDA0H9VCpBw5gzyFX3A/2RySKRMvHSOfMCJgLCw71+Z5jtk+JzrNc6SMqkVe6qo1LyPHEHFjSsTmRJBGsc9ZJR26IkAO9CTmeCmYAtSx1uXSEYBz7rTWlHSVVO4pOsugixwuUi207wT1tuSWFCcJ6mzde8pzTrm5zpCxA+1w0HdRWrnWx06ZwkFXL9B0SgqsdmkudLsdBIwIrXZbePSA8rS8/t0/wVqH3m2nHqEZUZ/On1mBxw60hJbQQHmhwpSdZgdxjOQZ6i9++YtfRsL0Sjab4Tv/gmidvd1dvHuLqrE/2tl2jtmB8B1iE2epcwaeTmcup5AQcEklEytcjh1h8gWHZGAx2KNA+IyUbj/Nde7qBGY2h+QXF2j9TPXCLLRjAqzVUIyopGniEltaaxxKAxjkTC/TTCupUeMc5xf1AyAr6LnezG3cvg/UGjQ+UhloDlwIlAeIoqxUjoAT4OZZhoSR5twmEPLpfXyqwrOYJPBkVNGxMHC+Lq1wJ5ml3vLn48n3is5ZocqBESX+aoXn+EYlBKTgSYHYcc/SaFhbRiC4rKALnGclJAKLG1nJ5UspHERKsXMFRF4qn0pY2CI1ATwUL+nqtSv4+GsfAgD80f9322WhFZ5BUKMD9dK1K2hwsjEIOP62+LuQYg6YhczP1i6v+B2fWk+mAR0vbi0iVpA7QkCMhwCAPJ0CnDVVIYVlOsarK0Cx34vRQEYbdwAB8CIXJneBHmMdY9pnzjtsQdRI6ZvGMeoc0ykkhfYvK1dudDDJ6JANzxrUPDoAlElgc2qPF2QQXGzP9wS8Om9MXgKfo5lylWOa0BhHchVKcURVQyIHPf9Ccw0ZK1SNtTZEwc2bGcBr0WbCZSH2VO6iJwUkfA7nlyJ8JmXASAsUxo7yMeXkbmaeICpCszMNB0znGhlviNJXLjle4AfkywAgCmsLURzCzUHPD+Cxgj+fjsrQ7zxGzjB6nKaIeTM1sDBM1WXJ3CUHTfMcif5J4++JfYQ9lo7ALvjhiGOFiOnfpVhIXwFbKh4WsPy7UggIzqisrCoLkhrtlCVjtTtElacgFvzZHN1itPPP8IRybbB4PAX9OLn1wS1sbPB6yo2rwSSlQqPJtKQEFLd3HscuWZzWGtMJh5mLMuw6CHzUueZiltfQXaG5P5we4sfvUr218XSAZsSFLBsBvCbd7yuFjLP8z3VW0mpihpz93bzAWyratZAPbr6Pva27AIBkPMXuNmUuT9MMc87Ib4xxiWgHZo6UlSsIgYzPLaPnbh/UWiPlhJcQAaQqIlrNwthnrpD2Yi3GPF+Ib11w71ikCJWSp2YhXpQsS+DzXtXptNxz+v0JclZo/cBDh7NGG2MXnFNK6tCYxTQMpa+aVMIlS/Q8iYDTV3RWm9jkqLogBCRncw/CAJoNlHk8cWvdWuXOJ6UEylY8XipKq5JKKqmkkkoqee5FVGhIJZVUUkkllVTyvEuF8FRSSSWVVFJJJc+9VApPJZVUUkkllVTy3Eul8FRSSSWVVFJJJc+9VApPJZVUUkkllVTy3Eul8FRSSSWVVFJJJc+9VApPJZVUUkkllVTy3Eul8FRSSSWVVFJJJc+9VApPJZVUUkkllVTy3Eul8FRSSSWVVFJJJc+9VApPJZVUUkkllVTy3Eul8FRSSSWVVFJJJc+9VApPJZVUUkkllVTy3Eul8FRSSSWVVFJJJc+9VApPJZVUUkkllVTy3Eul8FRSSSWVVFJJJc+9eE/7x7sHcyv4sxACAvTXYHCAr//JHwMAPvmZz+LS5SsAAGvsse9bvl+IY5ch5IkLACCAxavHnyX4eeU1IQSs+9Me/y7//8pK9JgfOi7z+dxqrd0zpSx1QCHEsf//RJOFeOy/LV6jdlKLrLU/ce/T5OT9i38Xn6Po9D7+s9/87+ygPwQAPHqwBauL79aQ5BkAwPMj7OweAAB6vT6azQZ3wKLuhwCAy5cu48GjhwCAg8MDBGFEz6lH+PmvfAEAMBkNsLe9S23UApNZCgAYTWZYWevSbykBz6NxPrO5gflsAgDwlQSEAgDs7R/A8+nzf/bf/8ZT+/jjGaybLwIQ2gAAlGchJE3x+Pvfx8F3fhcAkKQTzFJqV6p8xIr657e7eNCbAgDC7mX0Z/Szc+uh0e0AAJrNJmoBPXM2PEBv7wE9Z3yI9pzG78aFC3jx+osAgFanBegcACAnI8gWPcd+6ksYtVcBAF+o4dR3+JX/6G/YKKzRb6U5Gj614fz5qzgY96idsymQ0bjGJkajSeN9qbOKwTa9tyMY1BqbAIB2VEM+PQIADAZzCEXvs95qwPDvzuZTeDIAAGyuncf+Dr3bwfDArWOtNZI0AQDkeYo0SbjvZwF+F3/22189tY8bH+taxe9cedINioUFJLdISFjelUyaQ3BLfd9HzvNaKAPl0XN0biFk8UwPoliLMG4OKunBpJr7ksOAPltrkcb0WSrp9j8vkK490gME2413vn54ah9/9b/+e9b3fWpzELn9xvc8eB69U9ozjGtPwnPVUwqNRsP1t9hm8jyDMdweISF4C9voPcDlOKbnqBA3A5o//WbXvRdtjPuuEMq1Ic9zaEvzVkAh5Tb8t//lrz61j//gD+/bdLBPbbFAsHkOANBo+ogzmmsKFpPdbwAArq7uwA9u0j3+HKGcAQCGwyO8+d4eAOD9QyCe0jvMsgkS0Hp9/+4MH7l6DQDwH/ziv43OvAUA+MHXv4eaT4Nw98HbOPdqHQDwkc97eDDbBgC89SCDSGj9aQvUu7RW/t7f+YNT3+Fr/94b1pjc/V0ckubEfcbyuWIEREbvXIoZTDH2eQDD79na8j1YYwHez6zRsPwerM3dmWe0hc3p+dAGhs8wbXPAFL+bA9wGGCDRtM8evfcfn9pHAMcPH03nRJZZwA+4L66ZyIVd+IZ1Z7VFeZ3OrKJfi49fONdgcfKnAZqDbsIv/PPi/dICBYbTjILH9rFCeCqppJJKKqmkkudenorwSGGdVmWtdRCMkBIrKysAgHg+LxWvk0jOMUSmvG7LG05oa8UHC7nwBSvYcsPJhywiHssorT8pJ9GYxc9P+zf6zccjMIWmfvI5i894EtrzNFTnSb97muzsHCBgq3JjY82NbZZm6G8PAAC1hgefkZwzZ89DsvU7mYwQRGT5j4ZDTMZjAIDn+VCK7plOJpjN5txGicmULIl61MDBAVl7u/tHeMjo0PkLZ9BpkaV67eplnDtLiMMHt27isEdIVJLm8NnaP00SDTcVFhG13OQwhqe4F8CyZRIIH70eoSIzbbE9IlSnsXEG2wf0+w9/eBNzTW1Mc4taQH01QsDmhGCMD+5Dj6l/600Pn/7oRwEAm+cvwGOLUUsLMOJh4hmaZ8/QM6MA6TO8xsgLUPPJUh32DgFFVp9ZD5HN6d0qGyKMqI9Ce0imZJV1Vxq4vEmI0wfjEVYvv0z3SImDLWpEsxMiZ2tzMh04lCDLxphw+5WXoT9j6z1S8DyaF82gjqMeIQDWWgS1kO/3MR4Olu6jsKK0/IR0n7XRsBm1zeQa0PwuMpSIbN1CFggJcmfYwpTPsSIv16awAM8vbS2UR2tCqdJST7MMQUjXpSrxZWs1RGFpZ/InEOynidYaskCctHbXjTHIGW0VCxujMbpEpYxFgUZ7vucaarSFKcZNWXgzms+1/T1IRi/DZg1nE7o+831M4fNvASVUbqB1gSaYhTWF0yFIFqk1kim983k8xJkztA52927hcPAOtd1McWP1xwAAP97C4JCQn7SRIee5fHvH4OYe/eok05hOaGxWVhuIExqDeuTh8x//WQDA9ZXr+Nr/9r8DAG5+/3vo1mkuyMDiyCNk60G7iR2P+jeaGbRD+ryxuonxNF2yh4D0pZuDANzgSBzfm6Ut9y/PY1TdB5KcPqdCwFieyxYQ/D6tsUBezFMBUzAcVsCYRbaDz8WFF2SMgRXldwXfL6QA7E+PbyRzQgqHkxSPeiNus4XmSWhUeT4ZY9zZL6Uuj+lFEMiIhfVUjpkRBsfOdf6/goJkfEZILKCbJeoFa1Djc+61Vz/02H48VeGxVriGE3xdDrBKaACSOHYbihALqJMVTlGxNDr0+fhNkAWkpzO3EXi+hzznwYMA+B6BBQUMCwrYIh+2OKhLiLXWbZqLdNZJWVRiihe0eLgufv8kLeagymdUVIrvP+7ak2i2x8lsMsP1D78CABgN+ni0tQUASLIc85gW+mTWgxQ0HdY3Nt3B2ayHCHkSTaczXLh8kZ4zniDhgzAIAwx6tGnlWYzNjTN8vY6dfdr8zpzxcXhE90zGMQKPnn/+3EWkKcHYe/t7iGPahFbXNrC+trJU/zwFpIww69zAL07r3HeQq840tu/cp/uzEQzTUoeDOYYxvZ/Xv/k6RMRKjgjgB3T96LCHozkdFt1WDTol5W4+7KHTYDosrMPwxoqwgbSYLloj4EZIJZEwrZAIheipq++4tJotBD617eL5GpDS+9/oXoXwCMrvD+7DYyXUKgnBNET/0SGunaF3sptNMTy8BwCIlcU8J8UvUxIDVmazZIZ6nZQZFSrEU4bLhUStQ5Tc4eE+fK+kewqIP880/JAOuY21CzCz5fsIA9iMlVVkKPcbwNJ5B5uXCzyo+XT4ALDQC0qLB8M0gOdL5HFBzUhYpqsgAaf7GA2rWLHxLHEcIOW92MOMNQsUunTKhpICOnu2dW0W4HxPKW4bYAtqXSrXd/oftc33FHym6qw2kHxP3aSONs1UDSamQU8HPcQ8J4X0sBbQOs6HR7hdp/c4FQHA705KCcFrRyoFj+lgs7BHniZpmiDne48muwgGNBf2dm9jNib6dzU6RHOT5l0eHyKMqF396Qy3PmADaRJBdWn9y/EY04T2kbouqTyT5njpwnUAwGy/hztvfB8AsF6X0BmNQSAaaJsmAODBD45w15IxNloJsPoirRtfeajzulxGhCcXxkMsHD322NlQiNVAxHOqEQCS56mGREHcGmOcMmtN6aJhjYFwSpF0nIwVi3CCQeEloqxjtABjIdx0l8cUsGeVlH/tzfdv4WDGSjGkW3N+WFKy1ljwNgQlrBsLKbxS6RKeG0NrFowJ4R0HTgql21pYQ/uZEBbF8Os8h+VnCmUwZwr3SVJRWpVUUkkllVRSyXMvT7UxDWypv9rys1QS8ZhgrfFo4BAMchQsrbJCpCwRCSUkDEO3aTyGBX2+d/c2Rgx/r565gKtXr/MzG4QKnXimtcJBsaWLFMhp9RmQFCml06xPojhPc1Yu/v+4exaf8yQ5+b1lEJtF5+dnQYvOnDmD7UePAADbW1uw7BgcRA0kDI34fugcIq0x8FiFDn0f0xlZ/s1WA2tr5Oh3AWedI+N8PkOrSRbSfKYxGNH96/U6XnqZ3uPR0aDUyrWGZBNga3sLFy+cBQBcu3oNtxmF2Vhfx5XLF5broAVyh6KR5QEAUIDH5s7B4BH2j4hSE5MR1Mo6AGA41xjN6buzeYJsSqjVuUuXIT26vpsMoDO2LnKDBoFTiKXFnMcv0oCs0XJKkwnMlNqQJDMM98hRct7fx40XX+ExLimJZSSqt5xzbM2X6A/Jgt3Ze4TZhBCnUTzHYLTP9ysYRq4ezUO8ynTe2TTBO0NyBs0bAWqMYqXJDMqntWgAJJrGIR4kiKfUr3nDR8rIbiBqEJauJ1MDm9PzfeUjYmoUyRQyXR7i8WvKUVdpmkOS4c/IA+8fnuc2Ar9pISTTXolx84s+sLUMA1nscla7PcOkFsxMIohKhCrLjXN0V34AMFJktC3pNmsgFT/UWMilCR+mHBiuynMPQUDjZq2F4g4oVe5J1hqH/EgZuj0wyFNsxLTOWtkMmvfUifKwN6UxH0/GqAtCJm2u4dcJ0VgPPMzY4fVuo4uc+2ItrX3XHs93bdYL9NvTpNluwYS0bmf7b+Dhgx8BAAbDHQQpIbzrqweIFM0jv95AktJZMhgrbPXpOQejKWyPxj5OMtQbhPYcHY4QRbTX1FUbXZ/2o/7du2jVaPw8IZEwAqrSObyMnnO5ewGT4SEAIJ3O0d+lsRn3tgCvvVT/AMDzVUE6HHfLsIsIT3lZCImAz7koADTTTEoLmALOsLKI1yBUp3ikgfMVMdYi1QV/JmFQOjO780MItyaEthAF1GLgkKJlZfGM0bx/7E5HSCVR61YAgSgdhot1IJSEx/NaWjhUR8kQktdWlhnEMS3A2SzFZELI2zTWyPPyd1ttmrOdVg3NRp37aJAbGk8L4RCeyXgIzzwd4XmqwqOkcS8HFo7XhxCotQkm1DpDxotNquN8dgGzSWvgqQKHzHF4uMffjTEdUWTLfN4Ho7u4c+stiIw28Rdf+TgE89AQ4likluOxjtFYFs/CHOV5jsUoLQe/LWyyz0IfnZQn+QE97bmLvkDLKE+nyVtvvYN2gzYJ3w8x44nW39tzbeh2u6gxnTOZTLG6SlB0vRFifZ02A4pqobb5gY/xiDawtdUVt8j6o4GDNnUeoxbRu1tfa+HiefLVMdog4YPz6HAPnQ5N5MOjIzRZ6Xrh2hXkxYl0iuQGSIvILKGQMnwcG4sa9+/gsI+bO9TehrRYrZECU2+tIBLUlosXz2J7m5STydGe2/B9k0AUUUI6QZJxZJu02ODIs+5KC81G0e8JBge0ifcf3MPRg7vU7zxFd5ee37ieQof+Uv0DgIP9fczndJAppTDjTSGxMQxD1e1zTdiMfJD8wOKIliiEqSFk5S2aBTgb0Bg/0iliHrfpeA6pqD21oOE22ajRQJujw9a6a9jdGvGYCMQzao+Fh/mIaZQ4xdijNsT9Acz8GXwjohLx9j1F+DwA5AKyoJwUENSYBvIBkxU0kIbh9261gWFtUljhKFkYC13Q77aMFDF56QNjYKGiwpAy7hAKVQBdRHItrEltLKRY/iCxAAzTT4t7j6fkseeUe490vklSAiusQHqHWzgaUsRco7uJNX53rXyOwNLeOQgkhkxT2lyjzms3iFZwRtM9dpjggBWhSdiGFQVFaI/1c9k90Kt5FFEDYDIfwIxpzQViCy9dor3g0tkjTBNSzJUKkbFPzuDIw6OdYowlLE+dmc4BkXA7fKQTev4nXv4Ubpy9AgC4dX8b6ytE0w0HU9zr0zi16sD0Hhk6V+wVNNtk6ERmiNGAFeegDuEvv88qXx4zVtzILCo8EC522AoLnxWDVmSRJcY9RxZ0lTFO+bFacMQRXZeF5g8Jk7BRYiQsjzPZ/qz4Ww1R+PBIC7EQ+SXMM3DoJ2TG7gsyiNzeIFH62ppcAwWlZa1TCIWsQXD7+/0JhgOiMsfjiVNyZrMpclbAkwROgTHaIC8iXKVBt0v71oWLm+jw506rBcVKVG7HiFTw1H5UlFYllVRSSSWVVPLcy1NVvkBaaBcZVGr5vvIwZc0xzC0ytniDIDjutMWfa5EPwRDzfq+HNCGrQ0qNRw+JwhBKYMzUwgvnNvGII3rOXbiI1Q3K5WAgFzToBZEno7SW1+OklMfa/KSIqtPy7Zx8pvvuIi144ruLFJVxkRjm2HOf5Aj9LCIgsbG+AQA4Ourh6IgdAJsdrK2TM6unfMznpMUPBn2cO3eGf0uizlFatSjAYEDW+2A0QJ0t/3NnzqE3ICz6/IUrLifEZDyGZBM59D3n4BsEHowlq/KoP8TBPll7/f4Aly9eBgCMhgPE88lS/dOAo+mMKB37TG4xHRNsvXtvBzucY+eVl66jsUqo1eE0RYvRyqgRYechoTHZJIbfoOs1qWEZGq5HCj7DuwOT4vJlouOiMIDHFrQCUOSTkYGHLR7v3miOc/s091+y6pmQyNlk5Kwg4fvocj6feW/uHImtn6G9Ru+khRwXJFlHK7nEtTW652iY4CNr1+g5UYatHlGdjVRAM0IyHs5Qr1Pfp5MhkpjQgDzTONondNbmM0dNK+HBY2szTRPAkEUX6xlMVuYrOU3SOAZ0uf4MA3yeVY4CFcrCsOlvUwB5sRaEQ3iM0W5slRIun5PJ88K3F0HkuVw6RluItFhnwkVgWWNg+fm5NZCyRH9NQd0bUULZS4gARcdROzNHpWHRMl2IiJVSImDH0DPpBFcymsNfv/0+hgHnPmoKzDJCSc82Ojhbo8/1zbPoM8I6Hk8RKs7V05DO+bk7ilGbUBu2jUCvRu9dipLm01pD6+UQkMFkGwlb7of334POae5/5Wdr+MQrNH/T+RRSUrumU4H+iObLwdAgsRzhFwQo4LVz3VU0u0z9ZRpXVijK8Je/+DfRUfTMVqeOCxwBGag+anVaB+2LZ1Djvh4Yiwkjy52LL+DSlfM0TtFZSLUcmgxQHiaRc6QdjAuqsYuUkVhAeLwMPlPfgT5AXRENNw78hYAWCcP0uznmKpEDosx74zMdanPAFnSuFM5RWVgBzSidzmXhog8BCcl5tp5ZhMCjhxToMh1NsLpJe16oBEJGwXNtXZShMQaSmaFBf4p33/kAALCzfYCU0S0hLRRHAnueV5671i8jtLVx6bd0Buw8JLRw+9EuVlcJ4el2O7h+/QUAgN+M4KunI8pP9+GxC0e1sChwPE8J580PCeffoEQTeuEQD7hDNQ/Y7zNPO+ihGbH/xu4hHu4TLLt+9gzev09KzoW1BoYDWtjv3ryNz3Y5QZQMS/8cIUq1ZgHSE66tzy6LigRBidJdfxw1dRoldfIea8wCr3v8eYXPDJQ69fnkB7B8H7sra3jjxxQSOpmMcI0nyKXLlzEe0XuJk9QlYmvUa+j3aXJtbKxiPp+79jfbdHDWGg1kvHn0e4doNWmjqkcG20wdzaczFyFz7uxZNDjyx/OAkJMWrq2t4u5deu++9LDKkRk619jd2Vuqf3EC7O9w0sTdQ9Qi2vBXNzoY3PwBAOCDH30LFtSPg/4eLGjODmYZWitrACiBYrtGC7gRRTCccG88HsFnyuDKuU1schj97Xv30GSqMPIDFwo9Hk3Q5X5ceOlF3HpISkXUSoGAxml+eAjh04aL+ukKuk6Beq2gkTUGh/TeNjrnIELeENM5Whz++olWA582vMHNIuQTjlrRBtGM1vF8PsH2FimbNp4jZcpmOBghCFjZTHLn15GlMZDTuOm4jKIyViPkfok8RsQRcLBwivwyomP3SEhhIQuOW1ooDg83UiDN2a8mhVMyhScdBaOEQs5hvQZwifuisIG1FVJ0B/Me0iJyVDqvL9gciDlZZhD6bivJcw0/5LB3a2H4ALNGlHT9ErJoAOV5jpz74ikFU/jweAqRoOuteIIzmtqzZoE7B0QJ3Jz18JXPfZ7un47wnTcozLsd1PHyKh38uTTQl+hwerC1hw9mZJR8LrgKyX3P7QyKx6eb9zALaM5oVXNpCnSeO6P2NEkmjzDZoj19fOttrK/RwXR240WkHN042mpBsFLkyxqylPcOv45Pf/RnaJykRD6nNq6vNbG2QgZSS9XwyRdfAwC8ev4q4r3b1I/5DCGPa9Sto3uVqCuxuYqAlb6ap5Ad0Xz3OhF6fabVVlu4fHFjqf4BQOB57h0KsRB2bY6v45LSkpAucioG61/wfeUiBSnxYGG0lVSqFGU4YV2lSPidJKlA4VYlRBklL4xwvicW0oW6w0iof4korfvsW/n/fvWf4OOvfQIAkM8niDkqqrW6gU9+8pPUL6Ww/Yio+298400c8V61snIWtYj2MD8AfE6emi1QuyZPkelC0TalEmh91Oq0doXMcbBP+/10PMf7t8hI/fyXP4XO2eZT+1FRWpVUUkkllVRSyXMvp+ThAcqoK+soKingnEtTbZByQivP68IrtFoDhIwYzOIU2wcEbY5GA0CQpnZwNETAlmGeaaft/vE3fwjFlsbOYIKPfvRVAIAJfNcec0JXU6JIjy5KFKj+DCMBHMvJc5LeelLiwccmBjxBY7nnKImSxxAuKoNyHPE9wKnozSINt4zMZhOEnAxuffMqQk4Ac+fuLWimSc6dvYAZRygZY+CzA5rR2nncj8YjdAt6wKSIOTdGlqSYMHWU2znq7PxsmhKHB2RVnhPrCPk5nhIImBbaO+yhx2jS2sYZZDwJegc9WLmcRfLmd9/Ad/+UUtXfffc9rK2StfbaJ15Be0hp6zE5RMB5SCbDPiaMeNTqK5jNCEla21xFnfvn2Ry1NiE/e70euh2yMM+srWM2JUv16rUXHCoi4CFkiu/w8AB375LV0Ww14TVpIr545QLCgKyXdPcBgg4hl1g9faJ2m+uulENztYk+R+JsbJ5HkyPkpr37+BSjW68Me+iE1Lax9dBnJ84sT5Dv7gAAdue76Pfos8w10YEAPCGQci4XkVoEDFt70jp0RcJDEWVgtYVl6zGKGpCFA+UJevY08WXg6CEpDJznpvShJSEMZzav41M/8wsAKIHkH/zBb1Hf04GLePKk53IEaWtQVzQfv/jKp3CDczvtz4YYMwo0HPXx1oN3aazGE2oHgDzNobj9gRdAuTUtSwrVE86xchlJ4gRhGPJT4PKTGWORM1Le0gmucAKVDWVd8jiVacwYVZ2lGgkHHySDIVpdeu8qCPH6PqEeXljHpS5RxAMJ/PARRSjV6g/xapf24PHRETxGL0MvR21KlHXPCxwdmWe5+63TZCWaYushRWa1hkfY5Az//rABoQl52vneNo5uEwJQU0PkjMBYuQK/wfPLAzTTRuOHY3grdP3V117EtRVCRkU+hs5pPKYHh0gmRBfPWh72OQpsNttDR9NedrbbhFxhCslP0Gd6VmoPF05BBhalLi10AWLK4j+AWER4rEWxpxsh4PHe04w6gGFqP5GlK4Mt87UZKWD5nUvrwWf041xdYxpw6Z2RojWCIi8Nrzlt6awGuYD0qskAACAASURBVCM4v/PFiLClpIwEEgBCPg9uv/cO3vzBdwEAaTzFz3/pywCAMPCRMxozGij8/tf+DAAwjg/RbNLYCtuHznkfijXmccEcCORZ4ZwMF/07GPTdOQEpXYmYRjNCwTYNeimiiPbRf/FH38eVv/VXn9qrU922i/1KCuE2XGslQp6k2Sx2CeikgKsBs5AvEP1hH7MxLbb+3g4OHtFhMJpPELYpymUeZ5hzp4+OBogiGrzmbBW72wQ9nru+6gZVLShgwEKU1kKirmXkpA+PS4Z0om7Vk6KlHqcUKeUd+642RUIpOD8AbSwS9plBnpWJz3yFsKhVshAp9i8j+3tbeOEFCg9vtppo8QQcT8Z4802CwqeTBF5RU8oPkKZ0wMznCUxW8qJFwsAsTzHo06b18MF7OOrRO2q262i36VBpNM9jHvMCPTzCSoeumzTBgy1SRHYPD6A54WGj2UWfKbaj3hGOOFHhafK1f/gPIXJaPE2bYbbHkQB3ppj2iD+eDPsOAvYDDx4f4tPRGE1u13Q8cUrZZDREqkb8CwIR+zHdu/8Aa2eJJrBSOfj16HAfkxkpgNeuXYFiuPbOvbs44qSMF69dwdUbNK6+TWHnRcj2EgpPdxWHR9SvaTJFwhn9Ptj/AOfnRDPe0Dk2uJaWtF1kRe2yYBOTKVN+04e4ssHK2/wQd6bU/lmaQbAC4wWBi8SA8qA4KVstiJAr5ywAeIWCL5DOaC7bNEPGm5GGdRF7y4iQAppDbYWULrOq8jWUojH6xS//O/jKF0jhsSaGx+354298DWleGF4h4oRpmqCJv/IJysb7yvkNBExlfvxDN+DXOIlib99Ftnz7nR84U8oYUYafK+kYC50bp+xJA5RE9emSpgkiVniEkM7fLdQZVgzN4csw2KjTPZ6QLkzX5Bl83j9eunwFOSfDzCCxskbKRKR8DMdMP4UBWhuktK/qEGuc0Xg6HWKQ0G/tjfpYY8W+pQJErPDIsI6U0w5MxmNHa58mW/d+iHREFPXVbgtX2Jdm60++iXeOOIv6/ggdTjbYqAuc5Sixe/d3cW/7z2lspAUs7zUqxLBBc/kKfPTOsp/PpTpGPVJabr/xI4zHtP70+XNQK3yPzWB4jljfYtqne8aJRsS+TlEjxDxZPkqrK4aIJde1U75Lg7GYVJi9tQAARgAB++H4UYSAFbnQCPdda6xLkkqZswvfsQBhRmurbscAr0XPL88eKQVldAdFM7mIRi3dngdpYZ7hXMSxlDRA/4gM19lk5Axm36/jv/mv/gvqrafwww8oseTt9w+xv0VzczjfQmeFzhuz1kHEhneeGEw4w73vRws+uAYjPgPG47HL5h9EPvyQ/QQTgaIeXRg2YNnv73BnhPGwSjxYSSWVVFJJJZX8JZdTKK0yp40WC4n/LJwjmBlPMePyBLleQEasdQEU9+/cxxvf/VMAwL07b2AwJEvVaIOLL5ED2jz2MBiM+Ks5JWYDIGWKH//obQDA5pnzaHPV6iTXTl99UnXyZ5XFvDeLdNUi8nMSdSlQr8D3XRRNHKcuqkGbzEWJ5GmG4ZCsnOFRH/vs+f7w4UPc2SbH1jhN8LnPfA4A8Mv/1i8/sa3P0kergfmUNN/QDzEXZK31Dnq4eOEStS0XePSIq5ybGeYzun9jcw2mTpZQq9XBcFIkTdPoDUlDF56HM2fISkzTGXY50d5qHqHVIkh9Ostw7xFZY0e9PSQpO7u1VzDlxHlSA6EsoN8G1Npy6EDSu4+Ix7g/7EGzY+1sTSLbJ8rGCuFQlygQCNlxXsAgYPpjPh+j7pXjurtL49FeXXNWh0nm+PwX6P28/+ABGux8bSLPVej2whAXLpNFmtkyj0Y8yzAekJV9/lwKmy+fo8YiRX9I3816KXy2shqyhlVNFvJHz1/H5U1K+vbKJz+LmJOs9fpT3Fhlqy/6Ac5eJkrgosqhHtAcbITCRe7k2UIiM09hNiY0ycxSxJOCGssQMArRWulg0icL0DflONs8d5Fcy4jwF4qiC0pSCgDW5NjcpHn66gsvwjCVOpkO8aFrVwEAr7/RxA7T5r7vIWOq8frFC7i0SntGlkzgcW6f0fAIHbYS09kUKwFZoVaX0LSUcDXlIARskRfICBhGXSQEpFnebsyz1Dkq1wMPHc6Hc11nWOeYmlABhbep1SXVdRgP8Sgj2qbd8CEZXayHAbqclK0/mcP6NCejMEDMNPVbb/0Y+/s0f2r12FFp0+kczbDFzzGoZbQu6/MxssYaj4N0iQ1PkweP3oPi8g3GavhsU/duPsJ0SG0/v7GBsEaIR62hoMKiMvwIzYjriQmqlQaA6sZwte7tH30HP6zTHnrjY9dw6ztvAgDef+NHCCKav7FZcfWqAl9B8R6da40Oo897D/axMyDUU2AVjdrya/Gc3UJfEso7lCvIC4RHlCUhyDehRHj8ghYOQyimwAIPLu8ROfgX7iAWeZEbzgTwea9PZgPYGgcO+W1IWeTYkc5JX+Qoy0koAaWLPDmlE/VyIo7hlvtcE9FYg06b6NDZfOLcMqRSLljxsLeLZpto5FrnMuq8T2RpjBoj5UrYhet5mdtHAt0OO7HXOg5ZjGqRi3wVAlhbo7k5n2eQjP5aO3O14J4kTz9R7AJYu1AbC7CALkI6tYv0yfUipmdhOUlSZjRe+sQXAQBnr30cI06GNZ2MXAK6ay+sotmihZekqRuAVquObosG+OH9B/D2aKFceuG649SFhavdoa05VqvmNMmyzCk5x2kp9dhQ8JPKzmhAfbl3/75LpBQGdTRahTe6xPYWKTN7RwPcev8WAOD1b38Hl1+iAmfRagvv3bkDALj91tv41je/BQC4/sJ1vPYaKYTG6DIyDk+v+3VShFXwOAxUZ8Ct+/Rbg+EANZ68o8kMKUeeKOUBvMk2Wl23Qe8fDTBhr/xGq4GzVz7K/X0RnqUDb+vhj1GP6fNLL22iUacD+PBQ44N75FswnU5w4RxtGIHvY8bRUw8fPMSOIgWl1W46Guk0yWYHGDM9lKUZarUikWEfIqY5mOQWCWemDa2Hdoeg4dwAueaEflK7Zd6s11BboWiscxcv44gXvNQzjA5JoTPzITI+IIQx6K5Q+oRWq40Rh+nnWqPBtK2Eh4QLOybzMQK9vDIwGO7BMuWrEwvF9ZvaWuCz514CAHz2xs/inW1SYP78/W185tUb9LvqCF1eK2trX8Ttt8nHwgsi2JzDSkUOy1mFk1mMGityvrWwXBg2gXARI54sfVe0MYianKU7ydzcVNbA6uXXopTWKRKQBpILtmprEIWcTbW/AzGjg/vN936Iu3doPSFJUGO/v1q9i49/mCJJzvk+7t8hCn2tFeGAI0a8wMOZ86Qg3bu3h15Mzwy9AFlahtcWvgXWZPDYf0JCuBpeRluIZ/CNWO2uoM1L9yxSnOMw4w1Vd/6PxmhYjopKhcKBovH/ID1CzJRcR2t3mLVbTRctmKQxzqzTfJtNp0i4KGan0cS+oP3pyFjETGk1xjESNjhi34PP6Qg2sthlwU+iCLPJcv50mZ1DcVmqzBOY8N4xTSzqvI83V+pQTLvU6g0c7NGaHx4NERV0PuAoNetrFEXZ5gcPMLlPbXx/NMT+7XvUD8/DkCnB4XwEj9euFMJRRakWiDz2nwraSLhtD7YO0WzcWKp/ANCd3ULGe1PqryFmukqJzLlZHEuPK5VTcqTnu6LIvhYL+QutKyRqtXauD8aW9HLDb8E26Iw87EuYwj1Cw6ERUnnQupxHuqhJKbRLVLisFEl+tTHY3aP9L0lSF7EnhVxwAcGxyDXBYWmXzl9ztcN8T2EyofU3jxPkvM4GR3MkRUJFq1H451hr0ajTvpKlHmo1mj9BGKIWkeKaZxPkpuxvq1VFaVVSSSWVVFJJJX/J5ZQ8PLasY4WFyulCQLHzaru76hyORsMRVjjPhc4tRiOyKLormxjPODlh1MDqGbLujTGYsWe90SnVrgHgRQY+WwCr3RWEnGek1WwgSznFeJ47x+k0y8EZ5il1+zMwWp7nPTbx4NOkcKQ67PXx1d/5XQDAzTt3XYkNm2b4Ga5Ovrmxit/6nd8GALz4mZ/Dw0OyKt94601MOSX2Rz/7WXzsZwkB666u45//zlcBAL/+67+Ov/9r/wMAoN5sOErxWR2ZW6sr8Bny3jns4d4uaeuNZhMeyMIXQYSrV8gq6na7OGD4e78/wrtvUQRLksc4f5WohZfOnsf6BaKr2i2FekDIRWctwHREDsnnNz30Dgk2HvVzV2bihetXcHaD8mSkSeJKONRabXS7XKqh3Swd4E+R2aAPWJoXngEi8LxI5pgzBTPt7aHOEUwCdYz6NDcTACnP3zCo4UyLLQo5RcKOgDeuXMRslSyHu/ffw5hrhWXzCR6NGe3xNxGOqA3v/PkP0D8gq/Xe/hFmIGvwwvnzWFslC204mSN6BkrrYK+HlRZRUf1kBMWJN9aaXbTYCqqvruNah9p52HuIuM+Q/XTgIjpkbmFnTCkf7cNnx8FJPoXxihIrEhOupbXabBe+ych05uiqXBuXn0fb/5+9d42RLLvvw37n3PetZ1d1V7+ne2bnsTOz3Ae55HLJpURpRdmRIwuxjACOYihIggABhMBABAfIZydAHCCIYsXRByWOAzuSATuQKCiWLZkRRZqSyNXucndnd3bn1TPT7+56V933OScfzv+e6iWpmRp/JPp8Ggyqq+4999zz+P9eEiGp2IanvVkgsuuAly/mPE0ooKATI5Mo6JTIXeDkVFdJP/z+W7i8oftBTIdYJ8L5lbV1EycRtDbx6ud+AgCw8/538M4jTVyvucDugX52YbOJ1NYVATtcQn9fV4FsbkOUuJrCGcM9ZuB9xaQ5wit1BpaYo3VYgQ0iZi8ojgZVClzLAqPxzqRCQaqoeMFDn0irkyTDIj3f0IOZI5FEKGhOagQuJgQ1W1DIKAcvn4zA6Hus0ANf1O9fwQaYpPod8SYcLuWg1WUOK6NqpOVjOCf53K16cEsO/modaU9XQONsCp+qhrzCEZIJqVcUOOnpaxQ5YFFVT6USKieI2JFm7XFVggXyZAqsAHxFV5CXam3cOdak2anlwqJqnM0tbTIJgPvcwE8FV1juaKizubCGysL8pnxetAswPffxumNS5T0Zg5eUCGZBkNpPcQ5GkJPNYGAgx3aBMmPLliYjLMlyZImen0JuwSu9wfIQku4l9BkyqoYWOUz1X0k+UxNagLDK+2WmgjtPU1Cm+pRkOY5oHldQmIxL4+BZbqRl20YdvX1xDTt3NHHd9wN8/MltAECr1TKUDlUAkipReQ6kaVnVkWa9l1Iiz6k65Dog8RaKPMOgv0u/yxER6vDyZ180MNlf1p4qS59lVwnjEHrnkzsYTvTL4PoVk0mzs/MQjbpe6ONpjC4xuwupwKj0rzDL55JCoKCyvsqFCdUDZzjp6kn55OgIdSqFLnaWsNTSE9y4PwSnSVbZNooyI+eJt/vDjXP+Q6GhwA/zgs5CXeVE/+ff/Qvc3tcLWxGEZsLd+eQjLB9rqZzNgZ0DDTO0BifoEqekGgR4eOsD3Z+3PsD2de0emsYTZAQn/c7v/A5e/dKXAQD/xX/yy//O3KRpmoLRpmJhsYPGot7YuI6LCrHmB70u4ql+pt39Q9y5o2Gvw6MuRsT/2di+AO7o2cz16nBs/YJaXMB39eK0vOTjkEqVj3Y+BOcXqRN9LC2VkE8VMcEkg/7ASCdv3riORp2+EzPDu6c1maewiXvj2DYUbTwHgxEs4lU16g2z4eosLaJCeP/j7jEkLTSuB4wJcmrXG5gMKNBuMsHGhS19XUxiMtL9sXtwgGpN98ckiTHtaciu5ihsb+gFxQ0CDHOCjRTDwSFlCy32cfH5J+e+nG2+04CkQETf9mCRRDNcaWEX+j07dsbYfE5f5/IwBGhiyiUQx6R8OD3E5LGGgewowVcuafVedzTAUV9zrDKbQZHJXpQmsGgOUDaHLA3R+EzpJgGDKYeNGvLS9rUQZ4h/T29KzRSOUuSz8S44JmP9LCa9fcTUbcuug+aKHlNBWIUX6s3y8uWXwAje4OkJNjvEz5ESL3/uBQBApX0BHxA38Ktf/RIeHt3RPzXdNUaCmVDG+dnxHDNOlJJnDh/8mSadznSEBvFXvDCEU3IaLJR5pxBCIaHZPXIBEeuFaqkWYn1TjyuLWyhto5ksYJPyq98bgKsy6w2wGZku2gyrHT13gjO4tIg2r1+CQ2MpORmhQddgSY4mzUMrDnBszbepE7JA2KBDy4UlyPEuXaPCqEcbqDWG9U2tKsuPj1BQbmLKBJySE8IKoyriAmZToVSBJNNjoRpsgnO9aVla7iAN9WdO2QQh8eZc34VbZtwxYaTNtYUQjKwX/FCitTz/u+hkE/AG9X1gwaH3ozbtozLWc73yFzCoXwEAFLAACrX0LSB1SpWWAw96E7oYJAjJgDTyGCRBpsyRCGizGWRtjAnaG2VAPyY+peWgyEqjTYHyThbbFUT0mb2DCeQzcM3UmWJHnGd4TLQMKQqzXk7HYxMAWvN9w5XavLCMlz6n9wHD7hRbW5v0rQyrRGWIxsnMHZpZhnOn1CxYmnM+U2MFHrKSmzmNjHR9MhnjpZe1bc2bb34FjvvksOJzSOu8nbfzdt7O23k7bz/27YkVHpsrU+FhjOH2R7oisff4MeoLpRW3MiefbneIx6T6sBg3JeA8L6BKsqbtGcZ/HI8hiADFuGXIf0d7R8aUKAwCJETa63a7ptDWbrZM8nGlXgczJVf5TCeuH1Rj/Shy8lmCcJ4X6A00LJWA4fkbeid7enqEiBjl2xubuHxZxzcwJTA91mqZ3/r1f2BglbofoDzS2UxhSjvoeqOOr/3MzwIAmtUKHv6rfw0AOHjlZay+9JK55meBtUYHh0gWdMVpdW0d73+gT7aTyRQrG3rHfXCwiyqVVEejyBCw4yKHT5lSh8cnOCFvHCUZLKmrBpvrHmouqXTsQ6ytkkGe7wOgJOYIxlIdUiIiomSeFEjoJPnRh7fQIs+G5aUWDve1Suq1n3/y/VkcCKki4Vg2WGkKJ4AK9XfVyiEoff3gaN9EP0jFDEE7ibsYkeIQiiOj08vhwQHqbT3e3aCG3dv6WZ32RmhTxcvPJbIJla2XFrF3oK/d8qq4cVlXXRLBME0pFsHx4VbmNztzBXCyr0v2ruOZCJfvp1M8CvRz2xn18DyNu5/8/BdxmWDV+OQY4mPttzQ82cVxT4/HJJUICepaW1zCFy7oMn3YqEOQQGEcpYakOEojPJzqZ35v0MOAlCRFoSCo3xzbMuV7ZlnI+fxldMZn1RLLtWZKJcmw1tSVnE69iXjcp+ufnqm0KAiCZ7njgpGaiYsUCw39jD64e4rNtu7zxXoTFSKb9genKChNvigKM5dIxUxVm3N7ZsSnBBxSbzHFniktveG6AJ1aXdf9VHwGyoytJENG3jFxFiGN9b3UPI7Duxp6m4witEkZeeXlawjJeJBbKcDpJJxIpBTt0qhX4IT6t6IsMcpRcAlOXj0LFy4gv6PHLc8lGFVtW0jRYfNBk5YC6gElWS9y2Bf1A5oOEux/sgMAeHz/ERo1PWabroOFFT03deEag0NPSTBWGqE6QGlCalkYk4IUgwEuUGXcYUA00NeeTHO0HP39MZ/l6dmujTJ13fM8HJGadPioi7W163PdHwBACdRsmifYEILIz5Xhx9hMdZVXOmtQTM8xqQohCSZ1LRjlWqXIsWCToWZYQBQa1bClB58IuhkARdEigeLmexYrtjEbjJMSGAMKwERseEiQUSCd4wjkbL6KOVCuf1TpLHJco3VuZXUVdz7SMUX9kxOMRhqiCqpV5ESEZw7whde1oGX3/hFOaP0bDEaIIj1/VKoV2ESLKXI5m7NlYeIkziquk3SInNAgbkk0CYJ87fUXcf0zWvzDuILjPvldfCqHpywCMQaEZCLFLRuMSs+MKVQC/eOh7xrnXm4xo/qJJlMTU88g4Ug9AAUSE0J6fHRg8ONpFBkzr/GkQETwRyWOkVMpSwhgqdWi35rCJzdbxq1nIvH8IG/nbKBn2TjnOCCJ8q0PPoZHiohqowaPuDEsnqBP13b9hc/g+hWtnLn74C6iiX5Bq8zC5z77MgBgc3UdHQrovLC1hUXakHQ6y8YQK0pi3Pn1XwcAfOt/+p/xV//X/wUAUK/UfiT09pc1wQtEqd7A/OE3/gAnp3oAbmxuYv9IY61RPMVSm0Ltotg46irOkdJAzvPYKAz6R49xuqCfdd21IWI9ES93Ijg0GVQqHpTUg3r7QgegCSBPFfZPy42xgyapmI67R6jRczw5GeHwaPDUewMAriTSmDYthQAjRZrlVRDwspyt4Hl6oYnSHDtkThgGPuoecWCYxCMyUDw66Rmpe6/X1WVpABOh8JByXMAdOMTx8IVAlOnPfHTnCNWGnrAurXfglZwDz8e1Da0GqV+8Cr86fxmdQ6IgV1kphRnjiRLYm+oF8aB3ituf6I3NixcvgV17kfrBQZHQgSOdIqN7cYMGHAoU9JhCgxZxJ8+QkXFfo1HXQV4AVCzw5W09uRxKhTsEgX7z3bdxRFyRwndRTpSeZcMuF/Q5GuMMpZBEKQlZ8h4cGze29PtUdS30TvWzE1mO/ql+L22bQQxpAz4doL2ooY6FzjqSPrmMLym899Y7+tqeB7ZberP/3lt/hu5Ib2JDK8CENsaSMdh2KesVUGZus2Z5RYrBIvhkniah4NNEbzMLgjbAignjbu7aNnhTd4RwMgPt3L+7gzHxIjef28SUeFYfvXsL1bp+jkUhce82bYw9F8vr+t1aajp4sK/L/VmSoUGqutB3kNHh8rHimIz12H6jvgonIRjJzrA25wHLZgwTkp87mcCVyxrOOB5Ocbyn4fzJcISHpbrq6kXwmp53jndiyFTfR4vbcBxS7hQChSr7yYKgUNPhoA9Ga8w4jXCvR5BsK0Tg07tVJBAE96giByfzOnguCuLWZVmOZPoMjuCOBTXco/t9Hx2u38sguYvTnh5HTU9hNdXv4sRaR2wRFMkk3NLewJEIeElMieCVSuM8h8iJx+L6yGmOsZIY0iGzWiVhk2GrBWFc6YUITKbfaDBGSirMsOJDUPDsvK3MphtNp/jSG2/o/ysKPLir4d/A88yYBWMoyIC4UgkArsfU5aurWN+gdWUSYdDT72j3pIeIqBKWA03qAWDZyhxibMc2Jp1e2ES9qQ/P1WoFdQpMrtdryATtJ6R4qpv0OaR13s7beTtv5+28nbcf+/bECo+QCopgF844AjKge+d738Zrr/8UAODC9nXI8jP2LPU7iRNkVIIaRwUySurtnh6hTfBAlmUYkTHWO29/H89f16fHPC8gS0Ies8BLUl2aICPDujTLDBy2uroCh8i3FuPPZLBUnElq/UFIyyrt4zk33hyPH+8ZA6RqvYFaVe8611pLuNDRJ8alVhPDWJ/E3vrGN3CFqisbCwv4qX//rwEAtq9/BiGpFsAYTk70yWr/4AilBKRWayB8VSfQRkcnGJIter1ag6HQz3GrL7zyqjmpVvtd1Nuz3XHJuHeqIWpEwFWM4ZN7+pQokgSuq6+nWeVot/VJ5eJGG6Gtn13v6A4yIidmY47hkHbrfAnkD4XxcITRRI8B1wsgaEe/uLSEXlffV5Ep0OEavdMThHNCPkUam0oCYxyKToAijxEXdE9SoUH9GriOIYYPxxEK8rRx6hXk9EpkcQqnzIqKY7Ta5BvUWEKqvgUAWG42EJJF/n53H11SIvqVEDee09BS2KhgMNanmjp3DFHPczyEz2CL4VVCqBIT5BYsqvC4roVxmXPEbVTJV2nRDjD+UJeeR8ND8/6lk8hEmjiNFiRVw4a9QzDyKVpZXQWXBIv0DrDU0tWA0XgXUunqymZjGVe2tvX39A/x57v6+e+mGXJ6XxkHlJi/jC6lAiuhIslMtdi2XUil3/tJv4eCqk+cc0RUWRr0HJTTWTydwl7X1dO1y9cx2NUqrZ+98QLa39eQw4Nbu/AC/e7ydoCkR9/pMDh0SrQdy3iL2LZl1FtZWhjyK7MY5DP4KXm2a07FDBIW9Q+HBAgyy3mBoSqzqxTWLmnyq+dU4RBUt7zZRkwn6lvffR8P7+vqxjBV8Ki6kSYp1nf1HHPj5SvYWNT/f28vgipVeO0V9Mjw9XDvIUZULRzaNayQykhwGw0+33MsRIEBqRjBgJyqaM56HS4ZyrmTBBHNj4Mowt0TfUJ/5/EAIcHqyy5QJfLqggs4NF/4jo2I5ut8PMXjj/XzHI4HGEakvNyooU9EaFHk4CQbzKIMjqXvaSoT5FL3Tb8X4/RwvugMAChkjlASlJPuos115azb3cGHDx8CAC45Fi6T+V6F2Tggtr/DuSE5F0yioDkmggVG61m310X3RFfMl557HgV93vEUcpRRMBkypftKWhyKyOmwI5P/5jkFVEpk4NyFkPNXlKWSSOl6kiwDp7mnElYgixlMHcW0Hh8colIpDQAFJPT/Z6IwOY6uX0W7reen7e1VQ2uI4tRU6IUsjAdRGIaoUCXSD214ARk2uq726gOQZKdQJRSsFKR4crX1qU7L5YIqpDIbj43NbTRaeuFLRIwKQTB5lmNCTOo0y8xFDacpVE4vjO2joBJwrlIjI3vjK1/BCYW5jUZ9M9HwMwGSnHNExKyfTsYG3mKWhZBgJo9bz5QZIs8EHNq2/SlH5bP/rpEp4oWtCyYbq9lYmJkBMhj8+c7ODr7xT/5PAMDqX7yNv+nqbn40GGLvu+8CAOqdTRzTJur999/HKcn+4iTG8rLeEL7xxhuo39CqEvdqjOlUv9Bnn8s8bbXTwTe+8Q0AuhzYIviMASgc4l4EfOaaCQFGbsy+n8NxyE3ac1Cvk9RS9dDramjMwiHiUL+UewWDR2Fu7aUt9Ib0edRh+zNeQqnkGUwGYBQwyGxg94Bw9fEIbYIsn9asH7ITcd5SuAAAIABJREFUKIP0chTlguK5xkgt9BzE9ILlTILThv24f2J4I0wBjBQ6geuhTsqT569cx/t/8T0AwO6dD3BEk+w4zSFIHVOvh0YyPB2OUHqCRxnMBqNeX0CdAnjnaYPpGC5Bx4zbYHQgmBYJLNp0SYtB0WThMMu4TBfjPSQj/awm44mRPx8/foAXXvo8AGB56yV89J4em2mSzMwDh1NIUpgEgYuM1HCBZyOmZ7XJgYXn9WHle4+P8B5BF5mQsNxngHuUgkXwA7csk6WFXELY+t6bi21k97XtwTTOYZOVxaB7hGpFjxclC0h67vX2ssn+8YMQb3Q0T6mz/RC9vl7ov3vrO5hSeR2Mw6L3VTE5U5lZM/hYFcrAKtyxjEp1nubZtpnTuAIcA40pCJoPuk4Em2TbvaN91Hw9H7z48vOIRkfUJzE8MtFbf24dE1K5hFGMCo2r8ShC91QvzB+/ex8tUmnZEhiSdH1xOoYk07eGy1CEBI0xwKH7LZSeV+dpcZ4iIFnxiAkcu+TCv+igQe7j/OEJluhaUkvh+4/12MxaDUS0sTkdjOERpNkKLFRpDlocFKhJOqQ5HBxkVAplJOGn/T5CUmQGrgNOwbYyUyaMMi4ycOL9xUmKaPJkdc/Z5noeCJWEEl2Tdab8Cl57QUN4zGXICK708iNUaXMN6YMzUtHZHiRteITtwaFxJ5Gj1aR52R0jJXVmXkxRa5JSM50d1DmAQujx6yhhlKkyHoDTHObmLuT8dDrkucAhcW/u3L1vMuWElIbXNhmN8d/9939Pf3/g47/+u/+Nvq8wBKP5z2MSllXKzJnh6nBmwbKWqB9cs45qd/WziWT0zrECQpZUidCYC+d5DtC1KTCI9Mmw3Tmkdd7O23k7b+ftvJ23H/v2ZNKyPHPCYQIeKV5e/8rPGDvnarUKm8pdgR8gpjKYnaRmd7a6BASu3t1PJmPsU1r6oHdiTuB5nuNg7zF9ZgKL8mAcx4VVkvn8wBCbo0mEIRH4kiRBlSpF69vbeAand3ie96loibMwVqlQ6/UHGNBvXbt+zXgDDAcDU9Xh3Aan3SsbjtGi02NjYxPDZa0waaxsINzY1tc/jUxFpd6oob24cOYa9P/HSYyg3OzmEl3yJsrzzFzDPKWeZDpEu6nhoe3ti6jXKVsoz5Gk+t+VIIRHENu9e/eRkhmZ7dhYpCTmXneMjz/SZL3jpo1aSMnfDOZ6trYu4tIlrSbz/QYGA8rmCZsocbjxhKFFFRMpZ6m8zXrNjAewdfj+k02kzjZT4TnjH+F5vjEvZGBwHNt8dqlFXiFpaj5TCB8JPZMomYLJkkTqoVbX/bfQbuGnv/ZXAABvhw6iUZ/uaYyC2ILXr99Am4zdhv0+LF//7crlG+isa1+i2kJ7ltM0R5OcwSdTxCTO4FL5OImnsEt4pRCIyZgzLhL4sT7djw8fY0DVnjTLsd7RPkyWOMLwsa6W+PISrlzXyoqD/X0MKRrjjS99AVbp5VJxEVNUh7QqCDcoliQaIKRT5WW3gmNHX+ejZAyXvLLmaY5nQRVlhpQw/jC2AzB675efewnDviYq9x8+Rk7RNNVaBS5VkwoRQ4hSNeaC+3qMT7MUBUVdLHU62NnbAQB88vFHYHT6Lbgyz8W2uTEVzLMURV56nTAD1TGbw36G52hxy6i6mFQz4zZuIaWveRgN4Q6pmgeJODqli/NQqel7HJ2OwOi8uriyAFAWmMwzWORBNBpMcEDVv95e70xchYPK6hL1m2++p8YDyFw/d5YwOF5pnGeDzRl6HyURbFJppVxgP9VjcBr3oEjpVWlW4FK0y/LmOi4SUXk46GHtOX1dvUcHOLqvr2U3KhCQanAkbMSPKCU+HuNkQ4+LL6wuYZVMbwecG8UvA0dA65ZMFWyqBlR8GzEp2GpND4rPD2k5nospGQN6tgOP1j/WqmF1YwMAEA+nyMlU12ERajVSalq+MfJUqoBN1R6HF+gQdLxgd+Cm+n6P8jEcjyIV+lM0qAJ9oVVDnyD0wXCMONPqWZnnsGmcem6CCfnwZAVDls5fiez2Bnj3+1rNO0oLhAQtcT4zToziCLfe11lml65egqL5z7MbkBRpwWRk2BfaFJggOZUhL0oDQ8vEF4mkMAUeUQiTjSUKzN4bwGSNxXEMSUoHyRiee468pra2fuR9PXEYWxZM2UyBg1NpKggqyGhi7R8fGhz96PAIdykram//Mfp9/RCGwz4m9PDjJEbg6cG+urqKgCS1jCn0e136TAKrzDzhtpFuuq5rFmXXC+C4pdlW1xTBljqLhnsBtJ90ez/UfpDDU5ob7e8fmADIQigcHuiy8qDXwzTSG4N6rYGCJhSv3cDLf+uXAACH3T5yeiHCShUWLeJJHMMjBvr62hoqpE5yXddcg5TKPPAky9Dr6sljNJqav63Vng6LFPkEl5/TL2IYeqiQ6Zj0LFTIrCvLBO7d2QEA3Hr/E1SrekOwtrWKlWW94Xn44AgJlc4XOxU0asSbUjZaC3qgbW+tY2VJL6ie7aDq0IQ3HsML9KRc9TpnOh1G9ux5rnGrtmwbrjcfHMIty2y4OOdmk84sG7ZdhtAy4+LscwmHNpXVxTr2iH+iwNCo0UKjEu38C725fvhIY/OLl67hwrY268smPTy+rxULF4MAF69pJZEfVHF4oNVeoQpw6Zo2xtq8/gKmJabOXaQl9WOOfd3a5grSMRk63tuFooUMtmVK6jJTEPRenvYeIyTYLhuOYJMEJPA4cuITPH/jMxj19HU2W220yBhy5/4DrHX0hm1pexWTvoaubOZicV1PJA8fHaBCGwnb8nC6q/thpbGJNz/7BQDA7739Zzjujp5+c9Qsx0JG48uRDA6ZrwmmcNrVG+1Yfh6Rq6GrgXqENslQtZsu8Y5GAwM5KSWRkpJnGiXm+09Pe3j71lsAgJPTQzB6R7nroDxEcDAkxKtxMMvWK1hhQoMZ2DNBWuyMgZ9S0my2lbIQkRRdBhz7+xriXggEgjU9JpNphEqVnK5zgZxsMKoLVdhr5JycZuBC97ljOxgP9OZArnUAclouotxkb7UqFUhaFPcPTtCjz4swNKo0x3Ugs/lk6TVlG3gl5UBxov+d3zqEu6v7sud72NnVc/3C9lUsXtbX3jlOsbqt55H2ZoDLX9LPJD5NsP9YcwqXVhZx+lBz/m5/8w7e71HO1LLAhWN938teHQW5jzuLbbgo+ScB3JDoFExhoaX78vlXquDu/HiPHXgIiKPiqgQ2beSOxhIq0mPTZRWE0Pc4TRJ0mrTxCBgOpvScWQqX6f7mKkOTDmTuAsPogNzQxwEaNT1vVV0FOyWncD+AQ/CczA+gMv0eIxujQu9Ew+c4IDuYKRzIZ7BPKIpiFtwZ1oyLsizEzEqBMdy4qQ9JX33zZ9A91b/1z377n2Lv8ZD6wTWKYlEUhgvkV11kNO+3Wi1zyO+fDGbZYZUKIlpfGTg6S3odeu+99xCQYtxiHCmNzShN8Hf+zn+sr+1zP/q+ziGt83beztt5O2/n7bz92LcnVnj+21/5ZQg64cDyEVb1Cf345AQHR7rM2u92kZRl9Cgx6iptfzIjA9dJPbKw0DQkwuGwh163TCNmSEl1kKSxgbFsyzEndotzc7Li3JlVYwB88r721zi48yES2hX+g9/4jbk64WxsxFnyawkh/f7v/z5u3NAwjeMFmJIpn8hnJkknJyf4zne+AwDY3N7A9iUNXYSWi5SIVI5rGTt+z/NMGrgmq1HJdjQyv3twcGDUW0dHx7h0USt/trefM5WL6zeenvJbrVTQ69OO21Mmu0rmBQSRzO/de4CPPtFQ4+Ub1/Haa3qL3GwGKIiJ/8WXXjGJ9o7DEZO3i81t1Cr6+Q4HAxw81qfxauijWdefdxcaiJPSDnyKBo0H27bBqVztWBxVSgOWUpjd/dMa59z0R57npl8ZJ8t+AMx2MC4o86ZRQaNC1vqWQNHU13I0GCOkqsJiewFk/wQlBd75tlZmrW9dwTJVvBaWVhFTFbCz0sHimibETqcFVi/qKtbW1gbWNnTlBDbHIKYKQyKQzC9gguPYGJOKSuY5ZE5EXM/FaDg7TSVUNnr7o4/QWtPVmHqzhWmhT78LrQyWr69tEucog4+6R/vYoepsu+6jRlXAdJKh3dbXP0lS7JbVsKKAoJOVZXtlsgQs10KVxtd6fQGT4enc96hyaeIVAAVmHl6OwVBXi3ce38F7jzQMl6Qp1ta18dzS6qpRv0iZIY712KwEFTOvxEkEJXS/HXSPsEep914YmMwsTYCnig1jpgJjwzUeQY4tjdWXEArPgqFzzg1LQAlhAGklJQRFC1jCxWhPVzGy0xTrSzo7TFkcSb+sCCj0jvU8Mer14S/oKonj2ChIyTo6GaLZ0mN7/coKTk/0dzayAlXKhjs8PEZMSs3JsA+FMsJBoaBqayEl8jlz7TzFwZ3SUC5H957u46WxgyGpij55eIJLF3T1vRtwTIkIv1Fbg0VEYpsHRt1Tr9WRO3ouaK4sod7W4/fg7iEYXW/4yos42N8BACQ7h2gvaXVYuF0zp3rbc8Co+iGKDB5VHqqNCqDmxOwARIWCogE/HPVRKyvdroWTIz33vXzzBUQEk01GEh1Lv6OeYGgQ41nyFEWk4dnR+BQ+mR9urjbwoEuke9eGQ33icm2CCgC1jQAbRDWwRwUkzcVuk2Ohqq/NSzLkJATmUiH05s+14wwmtzIRCozWudXOoqnGwOaIaL757CtfwGCk1/K337qF6Vi/LJ996TXznbZl4eBQX/+NmzfRI0QnSVNIeimWl7fQ75dq3grai5Qf2BuhVtf363gNrK5pcnh7oWUq9LfvfgKLB0+8ryc+5ePTLjyUoWcM0UDf9DhJ0aOcrNFobLA71/URhrQgei66XT1JhWHFwEPHxyewqXRnWRwOTY5hEKJOPInpQR9SEHudZ4YVDgWzsAExJJWt0zSGT5LqN978Mjqd1Sfe9Nn2aT+ts6VphoQggZ2dXXievq+Lzz1nIJg0TaHKDc/xIUYTvagc7R1ggRb0JMlxeqL7odVqGoXG0fHQQH7Hx8dGpTUejzGmCShJErPoj8dj7O3pyeO1L37JqMbm2fCsLC8bSI5ZDhYJcmKcYULXUGxluHJZf9diZwk2mWNxXiClTaZtMdiyVAO4iMiwLFUKWUycH9tFSEqPwXBgFozA9zClz1gWx4ggTlEU5vlG0RRLi3oidF3H5LTM08pn4jiu+U3PcsxYY4xjTJh9IqcYR/o3r3Tq2NjWG8nFIoVHk/VyawmHJ/oa7+6f4uWXtWFkLfQRU5nY8nw0aWKtNBfgEwxYb9WwsKDvo173SxEB4iRBv5TshjU486tE0T3poUfPyglcFKTfDypVlE5jnstRwvTv7x7hy89pKG3RtVCQeKHd8VAKUgb9Y8T0TPJRFz4pK+qL62gu6nsJq8twKd/MDsYQe/q9Dy0bJ2TGOU0y5KUpX5aC0cRqFQUa7vw8LFUIA2OBSwi7NB60sETv9GB8gqOe5vpZwsdBRNyh9kVcu6g3nMWZ8eXYgYH8ppMpBMF5D3bvY0yur47jgrImtcEdQRRJLIzaS1rK8H9C1zMby7gQgJrfX0AqBVn2lVJQBMUWssAw18/C9Rg6BFk7IoA7JI5ZMkEiIrpHAZfmkt5xD+xUH8Jc38GEFoxCCFy6qWFWKwyRli7iHEhpQ9jrjrC/rxee1dUaWsS/EScF8kCPh0kaIZsTtau2m3DpkMPjAt2uHiMdaaFHaszFSgVrV3To57gVIqQNQ8ViRn0jlYJL9AW74cInLphddaEi3R9XX7yEk9vETWuEWLimFYf8j96FPKJxXUjYfrlm2KDMXRQMyI0/sTV3UDEAJJmPAX18LH3YfT3W/EqICT2f93bvYpXsPyynhmPigAIx3Ip+bnv7D7Gz8x4AbWb4mc/rA0qtsYTkZERXzCAc/d5bS3WwoV7nnn/+CjqUIzc53cVSofsqWAqxuaTf3enthwaSjSwO4c0/TpWUKD00omiAU8qMrNgc165pReZ7H76PCammK/Wqsad57Quv4eFDDbF1NhzD+VFKoULKW8VOQUJvpKlClThCru9gZUOvT+XBFQCOuvvobOr++bn11+HSe+NYFi5dLdf+q1jbfPJ8cw5pnbfzdt7O23k7b+ftx749scLj11cgKGUZKkadytzMcXAv0xUJ3/eMwmg0jk36byWsICJTwc7qqjnVTKMIMXmXxHFsFDppmiAn63w/cJET0VCIDOS1BM6ZOZVJIYyiqrPcweVtXeL63d/6vxGS7fTrn//SUzsgNcxRgHNpCFaccwzJIr0a1gxJW4gcLpUYvcAxhnfj8QCrK7rkNhgMcPvjT+g6lYnG2N17hIND8pkZDEzJ2HWcT3kBua4++ruuazw1XNdFQXDh/v4+Op3lp95b2aLxFA6VGdwgQE7fE3ghFOWxLHdahkzue7apVkVZbE65dz752JDMr169imq1hJ8kSpulIAwN7GjbFuifGE8muP9QEw/jJEWV7isIQ6Pyy/PclNxs24HnzXfqYowZaJFzjgWCqJiaxZKkaWpgiBwMIzqFOq6HnMj4tUoVVVLUVZbWETr65MumCqymx9Q4iY33CywbTSqvLy2vwKfP+GEIi3xD0iJHRmqKvaNT1Jb0sSa2baTGlO/p5w7f9bFFyoM7n9wxVvvM4Vgmk714GBkfnpgJHJKJXLvRxIQ8rkQWw7f0KUjEE5Nr5zhAu67/f3W1jcSisbC2jtGALPunKVbXNPn9eOcBPDp1b1+/ifGxhkNHowFeelnb0B8Oeug+uPPUeyublMrkrQmuYJUWOI4NRvb9R90xJEFOIstx656Gt1648TICUv5NsgRTqmDsPHwbR8f6nesPTiGprz++/wEKMt/zrBCFRf4/DCixKyUlypJAmgtDjGecG1NECIXiGaoDIsuh3PJ7LIO55izD8VBXZjImsFnT47C50EA7IPFFkSEnaHIyHcLLCJ6JgYgqr20LqBAU5IeB8dJJJxN4pPA5OB1g77E+gXd7UyTUD7UFD+ShhyKxMKHk6VgVyPP54JDq5io4zV9yIlCsakhi+nAf1Ut67K9FC0BHrxORr7TMEwB3HANpcgV4VG0Cs+HTZ5THwOgQf+NzV3FEawzGfYRXdD9ZV9aR9vQak0mJ8vEIUZgafgFmsteKTOn0+TmbHdbAUv23X3jxOUz6ep7g1TaOKdn+3Q9vIU41YpEO+lhq63vZ3l4DIzJzPYxx9Zp+nzqdVSh6F/d2D426ilemUEJXyT5z86dRp/UpqIcIS1VXwwUfU/VxHENRdfPet/8cU0e/E4uvvgrpz19SZozBJ5XecDLG//PPfgsA8LuWhb/9n/+nAIBWu42Tnt4H/Ob/8Rt4882fAwC88tmruHZNz1WxOgKjcaepByR0ADdrbaezhbVVPd4ZV/ijP/ojAMAff/N7+Bu/+DcAAF998wU8f3PLXFv5tzZnsAiFkkzBZmUl7Ue3J254hse7aDWorKQs9EpnxMkEC5Td0mjUUCj98CdRYWLex8UUOZXTTk96aBBcVa1UjDtxURQYkwttWAmNXPoXfuGv4x9SblRRCCMnBoDX39AOzxcvXcaFS9sAgBvXb8Ilh848TeE+g5x5OJgYJZqUcqZKUwonhJEvtBaMWopbymxCiqL4lEKjNE8qigKHVO7f3NzCkDJ+3nnnL4yirdVaNLwmz/MMli+EMNcQRbMQz/F4DNrHIYoiI+Obp8VRhOFUT16hkGBOKTflyGjRnY7GGBR6wvVsGy69HMPx2GSqCAD3d/SmJUoK87xWVtewsqahHdu2TF8B0kAmluPgErkPR0mCGvHBpJQG7qxUKmiT2ivPckwm82W/KKXM5tfzXPP7Kovgk5lXJoCEHHp930cZZ3Pci3Dc1c/EYjkqNb0Q3LwBbF/Q1/vyFzYR1PVkyhwHNqnHbNdDhbhLrl+H59Pm1LNBSC3yXKJLTtLNamgy304nGQZ8ft6A7/qYkPGkZBIVypXhvo3Fhr62pBYjoHdFjSf4+M5HAICtz3wOLhmfHR3twCXOSatqIyJOiyokmEVOv0rCburFqX75AvKPKaxzb4yU7Chq7RZS2hicnpygQpu9aBTjeF9vMFYX2ljuH899jyKVRsXBbWYczfO4wON9vaGyGINFCxWzmXHX7Q2PMaWQzeEkwgcUcPj/ffuPMSZ5PoM0ELpAPrMFYBKMNjCCS+S0e69UPURTMs5LFHziLiRFamBY37UwjbL571FK8z7BcT/FGazSe8mVj2agN9I8zyAK4mR4dXieHj+OU4eflBlCdZwMKfQzzeAQFGQpjmhAGWd2gICMKxdaNfQHGiZJlY3A1t+Z5QWOHxEfjGewZKlYBcScG4KeEvBoW6E8G40rGmYcHh2idlFvzA8fPsYq4aq5lFAWvU8Cxkw28Hxj85BkKTjtWrjrGBpCZb2JjTYZDAqJcoe8uNLBsENKPgbkZdioKpCTOSi4BYaSayQgn8HKZCpjZMSbSz8aGC2wXWPoVPR70GyvIDrU700tCNEi24BlPzAu/K+/9CIWN/QiLgtgMiR3aCGx9aI2nI2TIar0ncEwQiuiieuTPZx8vAMAcP/iForbWh7++P4jHE/0unUYZ1j40lf15x3LcGbmacfHx6iR9cXvff13cf+ePsCDcdx6X2eEba5voEZ2J2kxRZLq+634luFOjk7HBi70fR8JEReb1UUjM+eMG7uA3UcP8Jv/2z8EAIzHE4yIz/r3/oe/j5jmv0II894EnmvGxjSNAPFkGsQ5pHXeztt5O2/n7bydtx/79sQj5v7BLpxAE5Qe7dxFq6F3fKETGgZ3NfBgB2Qixxz0icBlcQuLBA+4joUTgnKm0ykse5aJUZaJR3mGAZHtfu/rvwdJVY7QD2DTZ45PTvHqF3W5/G/97V9GTNWPJMuMN4DFuSESz9MOj06QpSVcJczpS0mJbk+fguI4RkrKh+PDA6Mgi+LY7FLjJMaU0qOTOEGfytNrG5vIKNfFsmaJ3c1GAy1ibVncgk9QUb1WN2StP/nWN3Hnzh3TVyEpmPzAmyslvWz9wdCQZW0vNIqUNMlxSmq7k8N9xOX1JzEaVE4KKxV4BOGFYYAWGeqNohjdsT6lBY021ileRBQp+gN9+nG4BUZk6VRkWCTIr+O6SEn5BSFxSGTsPM0NUTlLU/hkGPa0ZtkWOPVHnqfIyDSxVa+afprGUyw0qUTGGGL6/XEiMClPgEwgpFPWoP+n2H1MioIXXkRzkWIuigwFQSqWE0CY3CXfwHGc8zPqGwGbKgPtdgOnZKwXKw7xDM/QcRwck7ePbftIqarQqjeRU1mfwUJA1/NyZwkXHf1b/YPbWFnQFbjFpUX0TzTpt7PcRGHpE5pSCnsPdRUltep46bU39T22WnDJpFEUEWKqFEqLm+pHnmRYv/qq/szxAI93db+98urncBjNl3ivr4FB0lHbltyYAUIppGXVwCrg0rRl+RJ2od/749NTHB3rKsfxYIB333sbAHB0/AhOQMR1aSMlu3/LAkyZr0pqKwCQbKbqEYXxa8ogMKVxIiHhEWzDJAPHnIxewJiZAgA4N9XWwGFopHoOKBIbIVVjpmmKKfWhqAQmPdpiHnyaR1frPtqBHttFHhuVVpwmYKVBoicQl0ZvEFhdpkpqwdH0dZUyUBztFaqwMBcZVUeFkJB8vrEapxJJpueRmleFtUCwy+VrWKKK6W4QIHmkx8iFyibuTen+IEy8Qi6ymaGmLUoeuUYNqLrmBS58qkIwxTEl9dMrL9zEzgmZU8ZHYFSFZwrwqfrFLI6cKr6KS0gxf5Wu0VlGRFXhP/7nv42b9LeLngc31O9TjdtGjaUqLViXtWoX1QD9roaIbfiwJVXXktxQN6IsgU3+aCELIQ80QnB/53uQpNLzc2BIWXm9b/wh8kKvVUGao0aV2hPGMaa5cPRwB93T+Ss8f/AHf4B3yFTw29/6FlptPQe0Wm18dOsDAMDNF19GbGgoFipVPTYvXVhF77Rcb67AI+FCIQo4pUItt4xR70JtAS7XY/Ct77yHNsG5n3thG2+/o9/j77/1ITrrGv5zHccgH81GAyB4K84L1J+Sv/jEDU+lWkNEJeMrV66iRaZs3e4APqmH0kTAr+iX4YWbN3CfBrIoClQIspkMevjgSGN9Sp2J9mTKLEj8TK3p+PAALXLNDD3bZIAkqcB3/vTPAACdrQsm36W50MD6hi6djodD08HztP39A+N2qqWYhfl3CakUhTATnBQSK8tk8qWkyWbpnvZwQtkjnU4Hd3f0RmU8HaF0GB4NRwauyrMCIWHUjUYTAW0Y6vU6GsRFuHrlCN/77p/TNUjcuHFT32+ziTSd/wV98OgAbeKOhNWqmXKjeIpP7upgRZGl5hpOB2OMItrQVitYWVk03+UQdOjXfIwpf8gJQvRos5pMhwZechwHpDiFZdvwqa9EIZDThsNiDMu0ibIYR0Ybnsl0YpRoT2u5EGDUx5alUKGQ27SQSBJ6IX3fGMeNJ1OzUUnSKWLi+Ugp4dCLNyoSvPOOnpju3fsIL76kVVpf/umfRZMM+lzfQaWhP+9UfHhkoWqBg6syh8uC39FFb9t1kJKqiFkc4fyIFqajMQpyObaDEDWCEy0BcziI4wxypCfH1ZvPoyL0+E2TDElCUIhXQbVOCqygAjvQGznLdmERbydsbYGH+plIZYN7+rdSKZAn+vuV5YCRpUHVc8GoJH3p8nVcuanVMnfu3cX+wfwbHikV4BGHzgGkKiEnBxn1W9hw9coFzavhZKi4132Ie4/uAwBykWIQ6ck9qIc6mBNAljMwXuYVMTDK5uEK5iCCQoGRrXBguUhJDedblgkQVopD0MZVCGHmgPnuURqlplQwqiQnCNCq6j4/GJ1iPNH9lkwnSIiPJLMqZEh2Do4NlDwupRBYem7mtg8VnJnPyGwwUxlSGj+pEsil/p4YySiCAAAgAElEQVRWYwFVcrXn3IJqkmUFY0iIU5IkKZJ8vvlGphyS+iwpEuTkkP38q5/Hl25oifLvf+dfo8/0b7585VVkD/TC/d7Oh2gs6XeesRR+UAYCWyZsGLkDh7akPM7RLa1J6lX4FAa6unkN3TFtZsb7s7BWxYxZHyxAUd9IFMbIdZ7WaKxh6fMacux+6w8R3dPQMR8BFtPrHAcHp3GUCMtwDKcrq1jZ1GuVY1cwIpl5kWawaQOgLAVJyIxdOJicEuTfqqDoULFglCOkhbE3GYJTZpmCMNmAvu2gS3yeo/v3nskgMwh89Ht6PbtwYcMoop+79Bze+b7e8LSbC7j7SFMcslwYU0/OFTo05zUXlsx64LqO+TfkzLBTWzXofz9+eAebq/o9WKh7qNFh5Wh/B1evaxVxkiTYuqAPcOPRBAnBoGtrHbO5/cvaOaR13s7beTtv5+28nbcf+/bEM+bP/XtfQwu6krM/iHDY0ycNxpUhFw6jHKNU71KnqTDJqEUmMBjoU8q03/9UXtWnzW9m/+bWTN1TEp7zPEO1rishK2urcKm0eu/DW2BU0uWyQKtDaoBpjK0Legf94uVLT+2A0WhkGN9nYSLGmFFLLS0t4uhI3+PXv/51bG3r8uSFrYs4PtY7+t7pCdrtRbp+hgEZrn344fvIqFoyGSdGkXTv3gM8eqQNk1zXM6c+x3EMKToMQ7z66hcBABsbG/ji61p1lsQ5imJ+2G5tcwMeMe5dx0G9VuaiMHzhtc/TtY0NzLN+YcOcPE9PT1Fv6irA2tqaVpZA57dsbc3MA0s/HyESY2ckRWbIaI5lo3+kKyZSzvLsC6mM0k1ybiDOMAyNtfnTmpTSmBda3DKniGg6NUaPQRAgIsjO4tyQIyEKuDTuCgCTERmEeR5CqhQVRYF33tHGlhkq+OJP/DQA4FJ9Ac0FfSINq55BSJRUZ1R3M3hLKK0q0P0ByPmFIai4PlRZYbAL1Gu677mtEBCRVRYDtKuUiM0qUJTMHuUFjnspfY+HINB5RZZtoVQkZVkBh6IiHh0O0PuuLiW/vvQmOJFmZS5MBbSQEpJq8DzPMDnQJ8lgIUK4oD1WKqGHlWdQEyrFzHhRKEzKvGVbkOShlMWFUemkhYBFBjq9SQ+3H2lipe9ZkJxO7xxGIarh6lKyw+HQ36aigEOVHwaOjCpmBXIoOhMKlUJQBU8KQMgywVrBdeZ/kEIoY/GvODOKM2bZCInYKvI9DPKySqPVdPqHCyhJOV++Z/xNHIvPqhgWgyrlbVwZxZRVCLjUDxUwlHqlepBDkMlOhtx8v8pyWFSltJgFS853No7GKUCVoXF/CpdI+oMgQWtBVxYrtQbuEJl9mOX40gs6iuS927dxQunu9ToHaLxLKGSpngs6YR03N7RBX3x6jP4Wmdc1KnjeI/NF5mGfxBICM28fl9vg9DzzPAensc8BU42Zp4l0gl5GYoxrV/C9PQ0F78UJLjM932wIYIGes6ss45lU8VwIqrR54wQ+jcEkStBu66pIAYlTqrynsUCzovvNHk3RHxPZfDhFOiHiNAckPZ+IM4zKIe4GqFGcTxq42COYb572S//RL+EX/+YvAgD+0T/63/GdP/02AI2msJKE7Dp4/rKmvIziCHlKVIkoBSc8mnMboMqVyFPkCVW4uTIGhgrc+KhNJnuokyCqXlfodPTL3qgzuE6puB2b6J7NzS34IVEVLAX5FDXhE59yEV5ANtRl4i+/cgH//N9oOOngdGpytSQ4POKc9Ho9Y84l8xwu5ZkUWWIMA4UQpiQNKCNhBmMGclAKJgBSKEDRwGwvtmBRiZQrG1cva5dVJnN8/Xf+BQBg3B/gj2jh/g//2s898eb1bymz4dGXUeZYSbP4WpaFAyo9Pnz4EFKVfBFgf187a56eHOMyqZC4JdDr6g3P8dEJHCrfykKaydd2YMqrlWrVbJaWFhfRooHfarUMlybwAyOrTpIMeAbewLWrG+h3SYFlSVTI3M22HLgk4XYgUPHK3Clu3Gm31m8iJoPBeDoyPzvp9aGIKxD4PmKalBvNOjJZZhfFqNEYSKdTnJ7qPqk26nCphMwYw4igsUq1CkVhkEUhzIbzaY1bHK49W3RGBOtwcAQ1DdNkWWZ+U0oJkHyUM5hcoTwvkNB953lhTB83NjbM5uvdt/4tjg71RvUnv/YmFkka2qxdPJOTxEpYGYwB5HuHQaEwplC9XCqUcVjztMBx0SR141G3j2isJ0EWcByd6Em/wQO89ILm0rRqK2gR/FhIifhUT5TjuA+iscBxAU6qFS+sImjqcdeRITKSaSOZYnig7zeJpshoAIyFLO3U4bDMqF+S4SHu7erJOmMOIGe2D09r3ObGwNBx7E8dgAqHvocBZhAybfsAAEIx3HukFx474BAlXGVxYwzoMAP3QylpeDsM3GxE07xASoctK58thNzlYLSQK6lQlIcki0Oo+Q8fUgiIMltIzRRbhRBQNP9xKAxO9eGAea55z7iQAC2orpSGSyhdxxxALcs2c7PigKINnoKA4jN+YhniKJUDRQGWkBYkXVsBZQ5VspBzwyFMCUyILziaTlAhiDoKThAleg7qxyPsEG/vm9/+Nn7xZ3UYb81ycaekPsgK6h5ZVzCBDVrU3njpNawu6gPtn4y/ibStN1QqEXhpWf//6eAEH/T0vKyKDAX1azUIjOItF4Aky4E4LyAI+p6n/fa/+Md4785tABqGFzTH3WYKO5SV9zxXWKO+X+AecjLuc999FyLXY81lDgKyEMiKwlgdZFmClKDjNMthuXr9mEQxpmR6muUxEgowzSsCOXG1IjWzCOkXCWJ6J3izgR3i6M3TSjd5AKiEVdQrlPu43MISHfJ+5qfeQHtRw/tRkiEIiI/mz1THlm2budOxZ9sNxmfGgkHgm/F18dIVPNzZAQAc90bokHv9L//yf4YqWYkoBfzLf/n/AgA+c/0mqmR2nInMcDn/snYOaZ2383beztt5O2/n7ce+PbHC8/xnPotb39ZlsCK0sUB5LYwfY3tLl60LyXH/vk6SHg5PZwZOeQFGu1GllGF593o9s5tjjM8i37ky6BbnGhYCgFpjwZzETo6OUVApeTCJMCHi7htvvIFf+a9+FQDw4OPv4sMP/u3cHWBZ1qeIyj+q2lOr1XD9urbpv3L1ijHfE4XChQ3NHJ9MJsiJ2Pfh7e/Dc/Rn2o0aGnUNCVWCEEtE0F3sLKO9pKGFRr0+Mxj0vBmxCzP1SFEU4Gegt7PX+bQ2HY/gU7Wk3+1hNNAnA98LwOkkXxSpyTBRgDGEzNPElO/H4wl88jhyXRfVCu3QfR8JkduPDk+MR8l0OkXskf+PHxivFiEUFFXJXNczpmaj0QRFebrm1twZRWeztBSUgU+DMDDPMM9z43skigKCIL7xeAyHE9znu+ZkYjuOqXKdnJwasna96sFR5P2y/xB9yobZurBVutZBqVn/MSgT97AX5+gRkqaYjfAZKjy941O4VFHhYNoUDxqgiUkxuRCEiAsyuYy7KGw97qp+iLUtfVLKxDLGBD/2+4eYRvqZB4KhZunnI3mGJt3v6PFtHN3XJMU4HiCme9yLCjBLn659pfSRGUAup4iIeJwwhgfH47nvUVnMjHc/sAFe1ua13wYAZHkOi8jMFudG9ZSlBZJUl/hD5sMiszNYDDZVeHJLQNLx17VtE5cglEJepqtDwkxhuYLNSye82VxlcwUTHgaFZ3gVdYWHIDNxxt8mz3NYVFFutZbRJwHEeHAKq0y5tqSJiMkVMxUwITxTZXI9D3Y59mx7VgHLhKmm50ohLdOvpURRjiWhDAFegUHQPJ3nuYEcntbCwMK4r79j0O8DVHloXLFw65N3AQDvfPR97FJlvNg5wQvk4YU0wfGurmylRQuMYJqNRg1LK5qyUMQpfvff/Cv9PXsfISYlojMtcNzXffb+8QH2B7rq6UkgJVg7zlOElFcmlTLvayo5hqNnGKeBh+1rOrLj0YMdRBmRk4Mm7lF+1mkRo0qQb1OOjcFt/OEIPtdzvW85UNaM6iGK0mxXmAqiBDNmmYUESgUPVwIFqbEiW6AgY8ZCWUaZlzGOmOgUPJ9CqvlUr8Cn18LVlTUc7ut9AFMSFRK3vP7aawiouoJnSGJ/UvvqT30Nv/ZrvwYAqCkLV69qFKfd7nxqXfy5v/rzALTvWnmdLnefins82WnZchDbeuK7/XAfX/0r/4H+/8Yq3n5Lq4eGwwF2HuzoH/cduKVJoJQmSNTzXNQb+iE7jmUghzwvjCmRkgo2PbR2u4kLxGRPcml4MgBHRtDJ6fE+3qcS83QyxVe++hUAwCuvf82UbudpnPMf2GD8sAkh5xY2NjbNZ8qyL2fMfOZsW99Yx0985WcAAIEXIKQoe8d1zcJs2/an4LNykS6KwmzAGOPGzPAsvKPUbFGfp0nBDFRTqdRRIXn7ZDxBr695Vu12E6trehMbRVMjDz84PEJIyhAhGUrqECskRuMyFNWDTVCjijOzMKwurxkulue5aDb1pnc8HpvNRJFL2FSCt7gDuCXMwOa+R25ZM8NIpgwUKeWZDaxS5jchBbxynFZD09+WbWOxVAe6NvJc39ODwwFO+rrk3agFuEE8maXOJjzKz5pKwBWlSktvSvT1YGZ1wG2oUl/LSrBhvjbsjgwHKaiHKJwSbsjRXiAX6EmMtx5rxcgdz4KXUSBf2MQLF64AABbby+isa4WJ13DxeFdD1ruHJxg90Bsh32/gJ7/8ZQDA0d17iKd6U5QXOSJSm0wmBa5e1arBB/sPcOuehrGq7QWEq/r7h+MY+3PysABAigKKNieKKbOxkVKgFGwJpSBo0rehUHKQJIqZkRmU2RByboMRhMsEA6NNdCGU2STInEGR6oorZsrinsVRZicLLsCschPLYVEulPgB89F57rHckEAxk5WqhDSbq7BWQ2eVDlIPP0FUjluPg+ekbhTScCCyIodP49/NczjlRZ8xbBVZbigDBQckzbuymFlxCCWRFyV3MjcHuDTLjNrxaS2XGSyfIKRmFR7xm467+zgZ6Xk8SsewiNYwKmK8+4k2shtGY6OWsm0XI7JbuJdE6Pb13/5B9BbG5QFluQKb4KHC8/ENCpXtjifgOW0YLBdj6o5hGqFevn4QAPW3EAw5n1+l9Sv/5a9g6znND/3tf/JP8X/95j/W3xlnqJKRpycco7qSQsF39byyvH0FCpSTZnmo0SEMgFmHiiI3nCUFBpsc8Bm3kZfyeZEh7em5e/ejj5AT7Dll2gIEAAS3UaVwYGnXkbv/bpuSL37xNfyPf19//50/+TP86q/+XX39jm/4UWDyR3JhwZg5RP5lh3TGmPmbN954A7/39a8DAA6PjvALf/3nzWfO/r3/I8yFP2X5gB99WD6HtM7beTtv5+28nbfz9mPfnljhSaZDpGQ0Ns1TfO+ttwAAg+EIuxTJfvPKFizaeX1894FJWG02G5iYHKOZOsnzXHQ6ZFtfbxgljMW5IT1VKxV88vE9AMA4jky0hJKAoBNOMh5iQCeTe0KYJGCRC1y/+frcHZDlGYoz5VrjySNn+0WlJKKodEFjRlXELfYpw8NSabWyvGYIxpAKtjMro5amf0IIs2PVv0nZILb1qZ1yWeKXUs6qYQrPFC2xtrZh8rCKQpjvrNUrJr/s1q0PtYkTdMRDeS+dpY6p3nDLwnRSwpTSwFKnp30TCdFoNM31h2Fo/i2EmEFNQWA8doQQhtR2tqqW5/n85opCmPK0xbkxLJtFXACe78+UU44zU2hYM4VAluVGseVbEiFV4649twWXVE61xTZee1OTLNeufQZ79P/7b9023hObnTaaZMIlmcKU1CZpbmGmT2PPVAWexClGZK3uVusoQ6eGxz34dDrlro+ETtRplkKM9bUdjyOc0thxj+9jkUiQa7U6XMrHW9pexirT72K70QHL9Okx6/UAUl+IVCIts7dCH7mv7yXyXTwkUz5XDdEh86+9x7vIxPykZSmlqYCmWYHALRVSs9Ob7ztIWZmiziGpmhFUbeRF+e4KlAFKtssh6LTPwSHo1J0VAoLqKw7zIP5/9t7s2bLkOu/7Ze7xzPeeO9bYUzUbQGMgGiRF0KRkURApkzJDtmQ5qHDIQ4RfHP4DFKE368GPfnOE7Qi/2aExZIuWFBI10BRJAwJAdKPRAHrururqGu505rPHTD/k2nlOAY2qWyLpCHfs9QCcvrXPPjv3zp251vet9S1JNq2sRetmDkQegSlN6QVTXcsLmdeYpygfAMIALetBXebUUrWiw4hKqMkIzXhXWiOcj3n/4gP5LTz9FFD6jtE5lkZQP6kqIplvCuXfC7TGNm07Ik21liq22oCI/Rmzeb55Vfj+gWVZbFCmJ9jD8zOvyTQ+3iUXquj9s7vsHznq6nB/ByUoTVUZzoUG0qOUZ8euArY3GrIUNH+eL5nKPaPfQSdufoVJxPSeo8DiXo/3pdWG1RBIcneU9qkFTVrOp1gpaOnEEau1IFh59VRVWmQ1+1I59bWf/zP8/t/+LffnBx9yRca+YyIaAknZkFHfMRY3nv8yU9tU2g1JOpt+hI2oZG0qstLRs6tsTSHzOu32CQViV1nGPHbI6+mHJxSFFKWUNVVDgYWaSjUoKVSXTBH4Ubtx4yZ/42/8TQBefe1V/ov/6r+WgQWPiK029jgkZ9u2j2s+j8dj/ru/9bcAlyZy69Yt/+/b39+wL/qpRHgf+5T/4T/435icuhyFv/Srv8AP3/0AgPfevcez0rDwz/3SV/k//9nv+h/f33Mv6vl06jfNwXDoN0fY5OrUdbXZ7KqCybk000xSPpYS5l6v60soTb2hckxtMLKY2rqgKNzLsVyeUH/tVwD48ue/9MQb0O93PW8d6MCfPwxDv/DVtfG0VBwnPkfFLcOiAGs3D+3RB678ebahOwfRGX/+BoK3WA+R50WxUQPdeuBFUfCOlC1exqzZCG6l6SZnqaoq+tLT6trVDWWX5zlpGsr9GfrqoyAIPF20XueMx26Dd73AZAOoKg/N1vWmjDkIAn/9dV17ekkp5Y8xxhAJddft9z6RLvwki3Toy9IjHRA1TmgY+fkVhqHPvTLGeqFLpZSvFlBa+2tJBn3fDDbaucLzkXPoegfHTKRE+iIreOmmc97PTidksoAWeY6SRpxLCzNZ4CqrfBVjZWvW0vyR9MljjPtdIitwdqBZTd3CXc4tZe3GmA4CskQc/zwjkEW8P9rlVJy/er3gvftS3bHIGImA4WevX6ES5exrg132pKls30QspVptvl7zjvRguhtrPkql+qk3YnDVVWucn044EZXxZbH2eSmXMa00VmimMqv9IqqNgqYiido3xCxDSygOqtUbB8BiMQ3yHyhP0yizBXuHlqShUgko5Z0tihojdNXSFu63gYhNtV2gDYUEQFVpvANzGZvOL8gWkitXF+A3vy6JOKJplBKJczVMh3RjN29PpjPWiXtvYhWh5Z4kVYdus24FgW8UrAy+mawKA58Sp6MAWzb3REEpFbSmJi8a0cDCi5tWZcWquJzDk1WVFwGNtSZq1DXjgEIyB9IopC/B7VwZ1L70hVMhnaavVqBJpEdjGe1AowtZx6hKlO7nOUXTV61UFKI+ntmNbIrCiSgCmDAgb1IW8gLkPhmFfy8vY1GS8MMfuiqtV7/zKh1ZW5Nun4EoCfex6EZskIDe2O2Lq06XtTjdYZIyqxqnsiRCyvCrkkKEJ8ui8I5KWBoCkdMIrGEhKSDnBwPOQhElXRXkMq4sCijjpnrPoKKncs03DTrDkN/8a/8ZgP9/kH3rE0657YB8Uk7s445TSnHt2jX/+ZMCe2PMlmDx05FULaXVWmuttdZaa6196k09TbVPa6211lprrbXW2v8frUV4WmuttdZaa621T721Dk9rrbXWWmuttfapt9bhaa211lprrbXWPvXWOjyttdZaa6211tqn3lqHp7XWWmuttdZa+9Rb6/C01lprrbXWWmufemsdntZaa6211lpr7VNvrcPTWmuttdZaa6196q11eFprrbXWWmuttU+9tQ5Pa6211lprrbX2qbfW4WmttdZaa6211j711jo8rbXWWmuttdbap95ah6e11lprrbXWWvvUW+vwtNZaa6211lprn3prHZ7WWmuttdZaa+1Tb63D01prrbXWWmutfeotfNw//v3fe8+CBUBrhVIKAKU2n0ERqB//rlIKq5ojFFr9+EHWgrXu/Mb/kvzb1kFyyCPHW2s33zXWf8NaK/8Nv/lnb33ClT1qf/N//YfW1rWMUdPPKgCuZxNud3oAXH3rQ5YYAE6/+FliGUvU7/Lq7/0rAD77+S8x3j8AYLpYMep1AYizGavYnQcdMJ0u3XXqgLTTASAvDKpy1xAEMD39EIDs5DZJ4HzSsCr54HQFwO2TC8raXef/81t/54lj/MW/8qv24GAfgLquODs/ASCJY3q9AQDrVc56vQZgPp9ycHjo70kcxwD0eh2U+Mh5UTKdzNwPWIjiyH20NUnqjqey7PWHADxz/Qp3Tj4CYLKc+2e6WCwoihIAYwz7++46lbZUck9+63/5R48d4/GL17enztbc3MwXcPPQ/T8YOcQoaI7WW2cxW7MxsD/6882/KZR2/2bNZj7+2OFPsPtvf/TEb/zP/8N/by3umfe7McOum1+dToe6dnOzKjdX1u10KIsCAI0ijhM3LlNilbuvRZH7e0JRs1q6+TUcDhgMdwDIK0Oe5/JbXfLSXYMKLFWdud8NoZRfDoKAfOnmUZll5Jn77l//b/7mE8f4L//xv7XGGH+eUAcAxGFAb+CWqr39Pp2Om1/KQhi5v4dh5MdSlhWzmXvPsnWFlQdS5JW/V0EQbNYzY/36pLUmCOR3o5Bga11pjrdAZY2/bq3dO3H15WtPHOPPvXzNyunRgYXmPEpRythXReaPT6PYX09VVQz6ffcP8v4DpGlKM+WVhkeXWnkuaLfIytibc65XKwp5RnEcEYbuPV6uVlTyrhtrqeVd/P3XHjx2jP/kxV+2KnXr2sPFKRehm1PXwz57hTt3eT7F5u760yThXuLe/zvPDLmauWM6D+YU2QKAnJKzyP1s58oxA+WeeTpb0O3Is0URxu53i7NzalmbRkGfncjds6kynOPGUWvNReXmaRAGVPsjAP7b7/3eE5/hKq/tdO6eUVaAaR6hVTSricVi5dlur0HbZjZTCLV1XI3dLErWn9KtmXZzfrb2xWbPs7bemgCaQLsf6SSa3VEKwN4ovcwKZbPKPZfFesmHdz8G4Gx2n3c++gYAZZXR6bh1JQ3HvPJTPw/ASzc/SxjG/kRl6c7z2pvv8dHJBQBJHPLZ564BMF2e8IMPvw/AKl+wnLnnvphd+P2p1x3S6brfCkOLDt3cPD09pS7cfLix/xLjoTvnL331C584xhbhaa211lprrbXWPvX2WITHRR+N56h8pLSN8Cil8I7qljeqUWzH1mYr7LXeNX30p5r/tIot73Vz0KOe7FZEbc0nIj+XscXpPfYfnAIwSRIGF3fd31HEB1cA6J++yVsXEwAuuorTjx4CUO2MuHjvthuhTTjqvwPAnema8dhFyMUHb/D5r/4yAEZp/vHf/QcApOMx/9Ff+kvunBdTWLqIJOgN6Aiqc7AzYHbyLgD33jvjg/vnALz+gzcoiq3w4AnW63XI88zfnyRy3rc1hkCi0zzLmM/dNYShoird8f3+AGwlxyz9/c/WBUaizE6nx3DoPPEw0v63snLNajEHQFcHDAQpunP3gkouf2+8Ry5IRJKkaIk8g0DRSYNLj/GPYkqmi7YWu8F7NlGWC7/88c3Hbtqh13Xo3en5KdvIzx+3DYcjglDmeJV7NGY6mVIK6tLtDFDKPc+H9x+wWrhIaWdnxyMYk8kFkUTLlSCbAKVVBKFbDj44eejP00lSoshF3VlZMhe0Z3dv6K+HSLM5E5QSGeZ5znQ6u/QYlVIeeQjDkEgQntFOj+GOuwYd5hQyNwMdOXgJCAKDlTGGkWZ37KJ6azRZ5q5ncr4iywr/W9u/26A0Wmv/efspqh9BqD3a85TrTRRpoEGUjY/YgzAE4/4eq2gz9axE7UAQaFDuxTG2IhZUNUkjfw1KGT+htdKbv1srCASEoXbnAuKoj+07tLCqq60pnFLJu17XhlJfboxpZahWDjkZrCtqQRPXB3Ahr3MQK4JCzldX2NKN6eZSY4x7Vqcqp+64a0wKOFCCGCxqHuDOX/Vh4ABklnVNHbh5cZAFjM/dd8sipwgd8rPYiZjLc+sVcDBz15CEMe/qDWL2JCsLw2Il6EdmsLXMl+09zlrM1p60+fsWS7G1hFvrd0VqjP8ubB6JMZtN0q1USv6+mSMqqFG4G11XigZNHPZD0kS2+9HlxtmgeovFgvsP7gGwKi+8H2DrmOXcDUJ1AuLQ7Xl1rf3aoLbeosV6hZb/joOQWjyHi9kpOpJLi8cszxw6O51NyHP3vs4XUwYDN09HgyGjgfutoND0Y/eu73T7DuZ+jD3W4Qm02tBJbDs5DjptPvt3RKlHVolmkVU/tgE0sJzyu4fSoBoIEDCfuGlYVLM7saGxfuyoy68/fOnD21z7w28D8FujHv967Rwb1Rvwa9euA/DaqMfd/VsAnJ2UfO/r3wEgDzPiym3oy9OPOancg3p7tuJgdxeANJ9x49YLAJQEvPXm+wA8/8qItz9w1NX9D9+hOLsDwNXegOs3jgAYf+ZlPj5zUOJb908ZiFNxeHSFk5PzS49RabOZpFZ5GDIMFI27GkWavV33JnR7qXeE+oM+kdAGWb6mLMT5UZY0dbO020lpaMG8yplM3LXN5ktS485zZTQkQzYbT4xBWZRE8laqLch2nWVgLw9A+tmi1GM2oGYB2v7i1py1+CsLVOA3fWyFZQuelmvc3zkkSdxCfH5x7qDoPyGbZuc0G2WgLeulc2ZWqxVaHIN6fkav5xwwBcxLNx+Tupwk5agAACAASURBVMPJuXPq017KSotDUhQEgXuGJk68AxuEIcul+66uc9LEzZeqNhh5VsViRV254w01Rt7dMIy901hrRak6lx6jUZtNX6ma0cjd2yQuCJupUFeUlXO6rMp9IBVVsdvsAcIYFTj43pjQr0NJN0GmL3VtUQL3K42/ZqsVyNyv2WxOSm9oeWvt1maleRoHNwg2FJgKFFrmWNrpMJd7rmpLKM6nMpaG5tNaeScn7aX+GOckytym9lSKW6/FyfFbjRwv/xGgUZG7hsho/25EceA/l1VFWVxujLP1mqxxf6uKRK43m+VcZFMAOjok7rp5ZKuajlBgh2cFD5RzZrpZTSrb0zIsSeV+R1bxbuCe/92+5Vjo8/7DgurCOddV1GMRuvPvpB0Wtaw7i5o9GdSOjpnLNcdZzo2Tyzs8da1YZ+4881Xt175HczI2Dg92K/jfSrl4JMi3m/2ssptnvn1iY83W4rVBBYzxU5bhToJW7p7P5xmVd4Rgr7r8+rTKchC6vtPtEMcyH5OQceC8zNl0RW3cvQ0ji1XucxyH/jqttYQSMI33xkymDlB4cO8+xrg1bF3PWEpwZsqA+cQ9mTSKfDDaTWKGHXF44l06xs2ZF45ukUTuc0xIbbdDrx+3ltJqrbXWWmuttdY+9fZYhEf9WLT8ZMhebX/agt+2z5mtXCSzmE0ZHxz7M6vGK9z+KT45UXn77z/6+SchP59k5WRG78EHAETvrfleLJBnFPHPckcbnI+vMnrp5wD44O1vkxdnADx/7YDJhYNR63LOWpKzonzOUXdPxtslvP8AgHlW8tVbLwJw0EtYvf4aAIPFgqUk2RVqAqm7/rPjK9yfu2hmGcPejovev/Dln+F3/83/fekxWltTSGhrrSLP3G/tjLrEsfutfj+hKx50FIes125cZZnT67loOQhSymiT4N1AnlpDUTrvfrmcsV67+1YaixU6IdARq4X73cFg5KOcQAdovUWPeqTbMJ83Mdgl7BOS4n/8RnziRz9pDZZQIu7D/StMJi4izarVown78oXD8aFHfhSPopt/3GDPWbVB9HSgiIeSJJ52KCTCtEaxCNxzrqoK1XfR71TVmF2HDi5Di2ng5n4Hg2DJWhMYFxWvztfovoOM++MdP3Zdl9jazcfVsqSWKEvrmK5Qe2EYu3ASKGtLHDw+4nrErELJBEhihVZuDq6XOZmbUuyOdynWsh7EIYlAP7dv36UWquvoygGDkXv/wkCjhUqtrWK9FvSmMnik2ZoNmKiUT1hXsKHrjcHq7fhw89kjgZewNI2xDQKiNiH+crnwif+9sLNFN9ZEkkjsnoOgfFFIHDf074b6NVZh5LtlWfp3tDsYkAnVVNcl/b4ggVZhfTJzyAY10P5zNc/oScLok+zNekElh3bjCC1Iy0oZPrLu9+NOykHo1ppkmnHcJFCHilAehEpiYu1OtErgTKiuC3PKYiBUm7ZMJ+6c12cdMqGo7nQWaHkPfirqEMn96K9rYkE5cl34d9cUBVeCy40PoK6hbM5TWJ8Ir7Y4KmPMFpKst0Fkf7+3am1+ZC8zG4RniwJzdKb73Ov3GwCG1apgOHDPczgImE5k/a0MhdBbpQmon2JNejhdUFp3z29/9A53PnrLXUL/HCQR3VCg5J1YLRVvvecSjw93jxh1N7xZwwrMphNOT9xemAQxyjr3Y9DdYdRxtNS9D+/wzJ57dwf9GySS/BwHgfcPqDW1UF1luWKdObqNqMPRzVuPHdfjc3i2TdnNpvJIldYmB2KbHfixuha52DCKOLnv6JtXv/kH/Mpv/CYAaaeHaeBsa/3G9zh+fJtHbz4/CgU+2X7/4wekffdwwiRlPHRw3cP3P+S1h44G+OJLX6aUBW4+PeHqgVuAbl5NmZ2764u6AbrjzjMMAq69+BkAsmnF6cRtEkVec102noHJOdxxnxmlDMfuc3FywrtSjVW99jqhVCHoOGG5dmMb7nQIw8vnt3TTAau6qcCa0zydLC/pSxa8rRX52l0nxpCt3DXkZd7sX0RRuIFjsawln2PQDTACG+d5SafrJm+nH2LmUgkRhTx44DZtkwT0Bx1/TqU3G8xCclOMqdGfVP73J2CeO1eWVDbHn/3SK5xIbte3fvBtn5cSRSF7u+6FvHp0lclMKFClt870x3/dywqMLKx1bT3EXJYG25ScETHou+dZ65ooEqpLxahINq+6JJV8CK1i1it5bsWCkcz95XrNroxx1L/uc3jquqYs3TPfGWmqslmUUzpS0VhWmd9wgyCikPysy5gyBi05H6He5BC8/vrrDIeOIv7G1/+Qf/7bvwPA1WvX+Iu/8TUA3nn3bV5/9bsA/JXf+BrPS2Cxf3SFQJyiDppMApoq2+S0aK0/sbLPKuU3FdgEfz+az/M0liaWPHdzSSuFlny60lQ+qSONQopm89SaOBRaSkGvJ85PopGvoq31m0eNpmxSA8qaVLmNXIOvYgqDmiRpvPxwQ5mR+nfR2oy6ahwhTbeTXmp8b6clqVBk8V6fOnHXu+pFnKfOiU4JiIy7ruffvEBPnaP6YCdgWrn5suqE7Oy6dWRvtMf5ygVLi3qBkqDLTqaElThUQc19yfl5T+UEtQuqxyalKzt9VpY+L2wVa/aM0Ll1zSK6/L5RG6iEqq8qMN6T2Artbb2prkJ5z7muNn83KPR2MN9sr1Z52tytt021nPGpJL1OQk9SEx4Wp4SyVq5XJRcTqW4rAppJ4nyly3s8H965zXTpAr7bt98lX7rgU5UXRB2pdCsLpGCOXmcHFbjfOjk9Z3jTrUNaaz+n6rIkkPt/fHzMC8+4iqr7t3/AUCqWO7sHZELtFmWJkcB7lRXk2SYPta4b6huUcg5Vb/+YzhPmaUtptdZaa6211lprn3p7AqVlPXzj0t8kIvrRqpXmeNsc6f5vQwNoysxF+tPZBXfe+wEAP3z9W1y5dhOAvYMj4sR5eWm3RyBQVtrtg96gGU3617az6qiuhlp4OjahfP45vn7LVWOdn52yu3RepNlf0BHtmuV5wdo47Zp69pBf/Q//IgCVepfvf/9tuQc1yUgqQ/QuH5VSYXB8TK2dd/zBB/dIRUfj1vUb/PSv/hl3/sk5p++6aqzifcMPbzuILppoOplEM5Xlu991FFigFNX68pFzqGL6XXc99z6+y0AieU2ElehktcgoJPI0vZhEdFuW66WnlvqDPmkqFR0VXp9lNOxSSmR2djbh+g2X7L1eLelIdJqVBafnkow27BOEkuwWhixXLpKoyoJAIr+ok1CbyycS/lGsiaysVhQNVLoq+IWvOF2JaTHj4/v3/PFJ7KKI0WDHg55aqacJoGC7pPESVs2tUA4QWEMh71NZliiB4NKkS1C6qDUOU18hF3ZCulKJU6qEWLnr73SG7A9S+W7AZOaOj28esjs+9ueJBPUKwwRw81eHG3qlrFbUxiFzd+7e4+z0PgBRGLKYL2QE//ETx6gNCJiEMplHh65eu8ruyCXy/4vf/n2++Qd/CMCv/LkefUEqXvnyF5kLlL+zMyYTWnWxmBClbk4lcZ9O4t6DtcInxSu1FV1vo9dblTNK/dGQHT9GZYkFedNaowSpTUxEKbRwpCMCSYaP44BUigbSSPskeaOiTVWQMV6zSIUVyPOy3RQtS3xFSUJXfrcgCBo0PdjMQrsh8YIwZHrh5li/1yNNL4fw6E7MtQY5uXbMu5LIWlwdMjhwKF3vwRK7LGRMc5ozLyLFbePWlKoTojxtW5NZd9TRwZjp2mm53L0/x0ri9qoHdByq0J8H2LWbd5nWXsvsrl4zkvtdB4peU7WEIeTyiLnBUjcURFUTNHpwSvvKowBLr+uueVVYyqyhdWb0R+46TaBQZUNl1EixFxrtqSJjlRcNq9DY2q3RRZEz7Mj1m4w8c9eflZZ1LkUDaEKhApVRT4VuvPH6d7CBG0tZ5syXLo0jjKckkuxvqgoE5e30Moaiuba7s4uWAoKiyMlknzgc7zGdCU2dLTi955ie6fu3mcm4AoxPibDbFVFYInn/giDAyjO11mKakVlNnj9+z3hiDo/eesd9rvl2ernaqsLaWhCKYs3FqePr7n90m7lU7jz4+A6333d84Nn9O/yr/+vvAHDl+rMcXrkBQKfXZbTjIPXx8TWGYyfo1+mMMGWz0VuQbHSFpTZNZcLTLUxff/U1hpKTo1VBLTkKD85WPCP6TIvknAcPHHVRLyes5KYuiopKfms9WRB0pKQ2ucqkFKE0qzk7d981ZsVyISJbD2p+9w9/B4AosGTiVMRdRX/PjWWwc0S1cA8/m76FrdxL3O12uX6zf+kxnl+c0es5Z/Lo6MCXfseh9p7jcj6j23XHjHeHnE3colLkOXGz+IYRVmiVIsv9Aq3DkKBZZIG5bHLr1QIkL2G9Lliv3X0r9XZpsfbOrbIabWSBLg3BZRlX9cnU54/loHm+dfPyW+sWA/fPwUb8bb3kaMdB8Leu3mAtzsNitSaU67p79w7LU5k7QUAti1do1SPigxsO3m5ekR9NVHuCxflGLC4IFaFQMyqOKKXGPwljQoF64yCgIxUs2XJBs5Ht7OxiJTciCULSxrGdrciW7nquPXcLJb9VlwWrlXuelZlSKef4pZ2AqnZz82JywVryws7OP+TBfVd9mIaRlzq4jBlboURcMdRuAwE4OjxiJs6MrQtefuk5AD7zwnU+8/wzAOR1xX/51/9TGcsFoeS3KKCUBVdbTSwlrHGkKBtKzuitSlLLJiXHepLCWnyuWRP+/btYFEX+ORpj/HwwVUFf3r9ev+fXsE4ao8Txr4o1q7kLDlRtqXOhoizEQlmGiaEjQVXUHVIp2UhM3VS0u7kq8yGJUqxpqALjxxvogEqq8Pb39jyF8CQ7VAkHQjMlF7ASinIxrNFLtwcM768oL9z6cpYvUUM3T5eRZSkSC3GgSJoq0JHm7sTRy9UypCvr0Us3r7CYuXmhsLyQjgF43oYYmXdFVvF67ebvSZDTSNGqSrGSYOw4UgzM5bM7UDUgtCSlzztTQeArs3ppzE4jPhtUnAkdU9elp8CMKdENk6asp6yruiKOhIpUAaWketQoX3J+frEkllrubm+HXK6hLDN/DNY8WiH9FBFZns2Zr92a1+n0MJJ/ZezSV0KZ0uXiAKhiBYU7Zr1ccSYVn/P5wjswRVmB5OXNlufYmTj465XbiwCUIQo21d3N/TRa+ftjtuZibWpqWWyHnb4P/n6StZRWa6211lprrbX2qbcnuLVbEemWp2i3EoMVirpqavETX6GxXi6YT51Hn63nJJJgdXT1GqEkMU1P77O766Lol17+IqM9B6PrICRJHBwYJ52NboVS5EJ/GK1JfSb4VoKY3b7mJ9v0zlvsHkqipwooRDRP6Yq7Dxw0X88qDl7+0wCcxF3+3t/7ewBEsUIL7Fdbw9m582SPrg8ZSvRQLWZ89LG7D3VdoiSaOj+ZkJ05mmy1nhPlbow3dke8/7GD+g6vdTl88XkAvnLzJt84n8loC/Ls8t66CgxF5X53sNOnlmoyW9aentnbG5NIVNztRlS1JKGWBYnosJjaMBekY73MWMxdctmDhw8pJNrM1jl3Z66FxM7uAKyLQqqqRsvcODs7ZzwWiqUyiA4ecZwQSBZcVpQE9nIws0I9Ugn4kw/88Ymh2FQHahSVRL7rbEkuyEa+WPr2KZ049fRBGAXsyfyNTiNUofw5N1TIT6h0fEqAoB+oTSWRsfSDhp5QrCVhfLlY0Om5iKtiRSlJvyZQ3Lnj5lT+/of0Ra3t+PiAN990YpmlgZ/5U47COz9/h6lE40W19MKGWb6mDoTm6MeE2p3/7GxBthbovC5Qov9jbUjI5alXAuvfJ1MbMp/wnFOX7t36jV//Gv3/xFHKRb7krkjeDwYddsdSlVZVG7pVj/z8raqaOG4g+JBcKny0jT3Kh623EDn8nHEta5B7/qj2ztMID263tHDncd8dj4YkQr1FYehFIAO9NZcCTSJinJ0gI9YiqDc9Z29PKprWFUYSy/PZBUgy7sF4QCF0/Wy1oBI60obaz5kgtARSrTS5WPg2FkEQXLoYZD2dMR046mpw75wj+c3go4eUu27OhsMBR1J1lwYxD2J3LafVGiU0UxKHhIIk7Az6aKEip6uCa3vunXt+2OOHH7q1pp6sSQWdj7MVkaBM9+OQN0Wo8NxkdEWXrh8npEIRr/KCctMJ4RJWoQWJ3BmkvrJzsS6w8q4EQCkJt7Ys6adCUY06XiTQ2ppIdLCK2mAEqTXGUlhBz3Xkq8Cs0lhZBPLaMBGEJE4C1oVQgbX1+7OtLZHsu4+2g3qyfekLL/Ovf9e1TTKV9Una5doQSMHEMB3Qk/U6KDVnt90aU5woEqnaNGzo4rQbMBq6ObBen1BkjvmItaJqCjJU5bX2NK6QBFy6QSMsamrr0VZTKRrAZ29vn/5o57HjeqzDY7f6WCn1I5pH8hrWdcX5Q7fo7Owfk0i1Rpp2uHrDbdbXn7nlK3dW8wvefP2b7rvGcHzV5XscXrnK4TV3fH+462+Atcrnclisd36CIPAb0no5pztqysD103HttuBEJub1qze4EMi4rEqswHXDbszVA7e4nH9/6uk5Uxs6ffdi7Y/H1MY5Tp2wRyX9hCZlhpHFdKC6RAI9f3R+yqxRUK3WRNZNzEUXwko2zpNznum6PKLPml0+9/mXAXjvuOCinl56iL1+FyP30NiSRjlZKcVclHDTOObgwE2W5WpCV/jnw2CPxXIDVZqmlxKwI7lApjI8uOfUp2dnEyJZAGZ1jZaSdn1cc7jnjp/emXjRujxbkwm/fePGVd97qa4K9P9HAKR3lpSloX4mk1PmCwe7h2HAocgnLNeFX6SyIudzzz0LwOdY8Qff/ro7z59AdVl3HFDJ7SgL7ZVvkzjyAno2LNBSspvXGQupzIvSLvtDN49+8PpbfPf3XwXg2Wee4+zCOd1f+IVbnGWvA/Dw9kM6oXtff/rlr/h37vXvf4/3brtcs7QbkiRu7kc6IWoqemrYid2itixzQn15qqC2pa/oWK8XrES+opumXhQz2hsThQ21p8kLqSbMcxZCY2hTMxVKNsAQyCKoOymVBBxJJyWYNQuo8YuspfIbhtIK9QlOtzHWixxuK+de1rZVnQNZuOMo8AKSURT5CkWnnCz99AiJAz8JqIWSC5Rmd1d6GnUj8sytwbZOqa2839mE7Fw2UVvxyld+GoDvvTVlLarBo93Ui9ZNJ2uOpZ+e67F1uec4szkdWV9Mp0c3d997LlesAnddH4cW21QV5Rn3RQiz7oeM+46W6sZdRiK0uj/e5Vg8pPfuzVBSeRbYFcc9d+9PC820kUwwOR2R2Hi/XLCM3T3bZ0TPSl/AGkZzd51JWTPRm/5lTzKlFEm4eVZN5VEJ5KYJmAoqyQe0tkZJLpOuV9ja3eN+f0BJcx8qtDgzYRT6FI26qqjrjQPe5A4pLNOFOJMZ1HLPbb2pGouCcNM/UOHzgi5j165e4Uj2g3sPHvpAR9sCJT3RgtrCTPJu9TVfZTiZf8y6EbqNLVpy0IJeSHfgnunR7iFTLXuYqgglGK7juPHRidIOCPBBYagFRNBBQJN5FqYxaPdMR3sHRPHj196W0mqttdZaa6211j719gSEx2zlJlusJEMpZcmlVn65mNIXOXvXUUe8yzQl3vIuG2g4jDvcvOWQimd+6ouPRDtRU4Fgqkc6pG/SCTf6I0pHQNNDKCWbO3gsiEK6g/Glb0BpFRdnztO0tUWAB5Jkx1NyN0JDOPkAgDiebTQGTla8dOS0BJ47OGD/hc+5v2cVxdRFJOvKEDU9QEYjcsms/0MVkQuXc352j6upi6jD0T5/fscdf+PBkvyOQ06i2YSXn3dRuolqetcuVzUBMJ1PsBIB9Ptd4qYCoLQUWdNR25Jn7pmaOvfPK9Ah04m7t1Vl6AhUORoOCSR6X2ZLBom75rmd05FkulTH1KLzsp5d8MIzrtLmw3vvg9AhQYivAkq7EYuF0H+2oJsMLj3GP5L5CN14ifbp7IK5oH1VUbIzdHMqTUqURF/9Xoe56FOMBzt0Qhd5Fvbx/Vz+Xaw7jmm6F4fEpIKiGGMJpSJwrzvwkaEpQmKZa3m5ZCWU0OEzI6qFQ1VPH664/oxDVSujeXDfoSKHo0M+/7x7R3/+y1/1iMeto2f4+//E9YJ7cHGfounYrS1B0zHaWEy5Gf9lk10BtLYkQmkYNDN5/+IoJNxxNEkURlSe24t8WwJjA4/whCrESFK8qnsEgsbESYKReYcpfVLsYl5im4xeW290oYz2rR/Yaq3zSB8/ni5qDIPAv1tRGPr5FkcBcdRQSwF13SCpiqLpWn0xYSkFAfVqTSh6SmmiCO9Iz7oI5hfumGIOh3sSXYeGUOZlojSndx0VtDgrsZIaMBx2WQmNOOjveNogDMNLpwlcv36N4Ur6nkUJ9aG7xtXZhODErS9Bprgv7UHW3ZpKRA1Hwx79rjt+b7TLcCAVgQQkoVQMrRfcfejeS72niES/RTNgKTJii52Ee7lDJE6tAVmnQhtTSxHFTqk5qKUYwyqmQgNexhShp+eL9ZpAhCFrNKWg+QEhRubpndvvsZy7nov7oz5J4Na17mjIonlvFKRSvFFrRW1K/2sbMcjNvlgb65OHtd0Un4RKk0ipozHG64fVJnqqdzHE8PwLrjjgfPYQXbn1I42h07RkWUZw6pDvda2IxlLEcDKnrByaf/PqHo3kU7bIyYVRWJxqxkeCIN4MPZKaxxGpCKAmGHJheg6fu8JcRGyLzHgW4Xw+48o1dw1J2mfxBLHaS+CUDa+oPBVycfbQ97bvdzvEsvgqk3tYy/XecmewWxUpcdrhoHtzc3rfr8hiGljOusUPHi0IM+oR5pxInJ8w8BWmmKpmKtVh8OITR1dWBUq8nJMH972g33A08KW/SRjSFzGnX84ifvrwKgDjW89x+JmX3DUo5cXXqtkCUztHJTw/p5ZcAU4fkIsg1leiBNV3i/hZ2CeS/Jx3zs45FEprnC15p9tUy6z49ncdnXCeddh/CqdOKQeTgss78QJzF0si4bF7nZhMxjtfzYkiaQzaHdKRRSXPa5/vUuU5deNw6pgXRF7g1uGzpFKFsn+0R5W5CViuZjxz0923s9ktmtY8URoTCLw9u5iQCPw86O2guRyx/pMohUtTDb74xvrJts7W5CLve7y3z8EN1w+t2x/w5htO4O7egztkcm+UUgx6buN4MDvxlMS2KObTCSY8alfGR0yFws2qHCVlxXVVuzIdwCjrc+hUHVNK5VQQ2E2znVDRl9yMchWihErNLko+J4HI55990edvTC9mDASGPtg54JVbnwfg91+ds7TSJLbOoaFMs4Iyl9whHbMSAcvLWCeN6fclp0Ev2dlx87QucmZCUU3Lyuc0BElEKNUd3V5CR+BvU9V0O+I8BIZI6BitNKEEGXWFp7GUcorM4Bp6NkrIjrkXp87i9QscjdXk4cRPRaGHW+k/YbBp2BpGoT9Psc78+6q1kio7WEwWRJITN+5regN3zcOdLtOpKLJP10QixDYcwZWDhl6OCfd/yp3n4oTvveHSEE7Pa/qHbrxHBzsUhdtUjq6MsVVDfVvfbPRJ1imlDxMwzC2hyB7cMTlHmRtTxwS8H7q1xg4CrkjfwWEnoSu5Op044uzCObzr5QWl9OFKVM0H91zF1sqmNAzGhYmJZVO+djRCSTVstk44GLr3Muj2mC+kym1Sk4saM6Z+KurVVJBLzlo2XWLlWa1URNn4FDokFHpwlVUU4oAd7hzwUdNwmoDR9WfdtenAO9dlVW7yZO0mB7CuK19hq4KNKj1mo7YdRSGJrOlFkW9RYNs5KU82W9d0E7efxXHETPYGVUI3dX+P6LO+59aAj08+4vkvOHmX8c4VOokLbo+fu8I8cutQogu0ODNVVTE+du93wQWxNHg9P5+xe+QcmA9f+xYfvf8eAF/7q3+VD0Wu5eM7Jzx73VV0v/HWW/SlkahWAacnbp34SXrLLaXVWmuttdZaa6196u3xlBabiLe2lsWFoBZa02t6sSiFqiV5SlUg3VMJEt+J+5G6Fat8Epbeyhw34D3QR+Il9ejnSBKXjFJO4xuXaJiIl10FIYG6PDxp1ostyXiopO/H4rziKyLF/uunC1556H5rHF2BvtP+CK68QDmRTPnFGrtwUVNQZgSSsBaVBlWJXlBhMIVAj4sFDQZ7rbDkAtft5hPWgpx81IFi6jzWUwvfqN0Yr0UHBOHle78U+ZqOdI8OtPZubnfUJV84xKmqMmKB+K0KvZjTYrWiJzRWpC2F0F4UFT1BtDphQiQVXtpYXwW220s4uuk8/Ycf32UgkP2f/bmf5ZvfdyjJLM84F42Vfq9LKq00VssFvd7w0mP8o1iT2GfZVKP0R0OOJFH57Tff4ctfctHL/tERv/dP/wkAx8e7nEhriSqvGQrt8vHsxMuYPRpTqR/7y2WtXtZ0g0YwMGbV0I/g6eU6iIlEyr/KKpDXoDfogiRan5dnTCZOO2gweJ5KtJT6wDVB/rom52jPRVBFmEDU0EaFR7GGnRGNJFZWZWSiM2KKklJ0quqqoCwvT+/10sSjwvPlylOdg87A92qrtaYjqE4cBr47/GA4oNcRQc0g4fbd78o9ySkbLY91SWQaKjihqNyzC4OaSPRqIp1tdFWURYWNLH7TX8qJ9TVsXk0PG12+I3wYBI80IGk6sAdKsRZ6dL2Y0us5hG1nd0CayNozjujJb43TmkqS0lezGaFQAoGtGAzcfXvmRh8lPcG/+S1LLUjgMzev8tVfcojld19/i0De48ViynDPIcdJmkB1eTG+xvL7ExKJ1qO84mztovtZ17IYiMaVWbMWdOVwOGIg1FWotW8bMVtOuHjovttJNYhQaTdR3Dlza6KejJkJgvzO8pSrIuj40kvP8Pw1t1bO3p9zR8RMP8hrrh66eX2NBZP7UoUbLbx77gAAIABJREFUBIT28giPNbWvDFoZRbmS+a4stbz5RoERnleHCiP3stNJWK3dPtGxuyylnU9eBtRCOda28OgjaI+qG2O84J6yCpE4IgwDogbBNZCLiJ81ikAoNn15NguA+bxASemaWlmKc6lu1ENu3nwFgHJeEMr7cXR4hZ3DZwH49u98nW7inunPP/trZIcibhp36QgCnWjNupELOtV0pNprOVmQXBeqsbR0VpncBTz7YnVJV+b47v6AuOPWtiQJSeXzT7InPuXGGdBabxR6TeVzQjQa1bSIT2K0CDIVbDbkRxFfSyQb3+T0hFLK6faPr1NvZet4YTjwzfy0gkgeeOk6lPjz5005oNI+K/xSZmvf2q02lrFAg38tHPDrMnFu3HtAeMVRV4sXX6CS44MfvEkivaLCYk3oBexqT7FpLFoWJlUUlIJ5FhqMbBLrIGClpWrJZkyFKlgta/LSfffjOCUUSujoZtfRFJe0tJd4Wmq5XlPJsxt0O6ylyiUNIv9yhGHIzo7b2E4envhZEscdyrWU2+eG6cJB7RfVhJ1RQz8UPLjnFpLv/eAH3Hrupow94zmByF/68udIhbe/yFeci1M3X8x59jk3RqM0i/XlKyf+aNZwr5vGoIP+iB3p3/TK5z7PvtCPR8N9fublLwFQ2iUfSC7E8f4xHzdOyB9/kRYPz8/YkbLeQWdIINUmy+UFFG4xClONafJ8EkNsRAyyVkiaAVGgKQt3ndFwExjc/eiCN9QPAdCfeZbevqt6TIYHVBKgpP0d9q6451OjvJCdyhUitExVKYrcHV/kpS9pv5QFEfOGvlkZUrnoMElAqB+lFHFDAylFRxyeOO0SCqWlg5CDQ+esTs5PPB0WBhWhULVJJ/DBh6ouMIU0Zw01SdiTgQW+PBhjfT8k1xupcQYM1jxFbkQYejE118NLxObKlXe6rK6oV+6a8yBj0JH39bBHJXRRhwpqdw2LycpTMgd7EUEoG0xPUctGq6OAb73qFO6/8qf+Ar/0y65K6+j6TU5EBPD2Rx8zkvfYoomSjSL0ZenhF6IRa3FOV7rk+2tXBXh7kVEeiHPaiXlONsTD4SZPb13VrCvnwJhs6aUO+t2Bb3wZBoZ+p6lUq0lFXXm5mLAUpyUHDiRXZ3dt6IkgaBxYIqkIMyiGQg/GVmOSy+dEao0X5qzCaKMIbzZ7ncV6pyjPLN959X0A3nrjDf7Cr7hG1Deeu8GHJ9I3serhZ5HS+A4HKvCUtdWFl4AJgtjTWwZLUTcCmXZDXVlNJHlelYGn8Xkenkyopez9SnKV/bHbD7qdAYNTtzbMzufe0UqTjL3r7phyZ8adh45++sp6Qa92a2dpLbVQlnE/pifq3VVd0RHpiK/ceIWx9La8H4QMUymB7yd84acdJRsMVuwfu/0sOXiWnV3pDVgbVqvHC522lFZrrbXWWmuttfaptydUaeGDX4UhaJIClxeEPoNfY3WTFKgIBc2ow67HYDTWiwaBxQge3OsPoE7ktyrfumJbRk4pHmlvEUVN4qD2UtNaaQ/NKxTVUyRn1bX1QlBRJ+HP//QvAfCbb/+Q43Op0hlfYy16Qckyp3fhoPBotUQQPUxQUUuyYKBjDyHqxRQrCV8zbVjJvSosrGVg76YlWjzTzmrBRaNLoQImgmh90Onx4mcdsrAuP2D4FCjC/sGI+cxdw/37D7h6VbLjd/rsHzpv3VSVr67phrFP+tzZGVIIRVHka3/Pp2dL5ueiz5Mv6Umvpl63z2LhotDz6QUPHzr65GjYZSw9ZNarNQfHjupK93cYH7vWIXmW+QTZujbMZk0fpj9Z28yWjf+vCH2+6mduvcT+Nff8R6Mxf+5P//sAvPnu67xx+wMAjo6v8PZM9Jn+BK7x+PgaWlC9JOxA2bxnETevuErBrLZMRbsmiFL6yY9TLXqsPOR9++4dL0KY5QUPzty83n94yujEReYjExB1JCo2lb+GIHBaOQB5nm0J01lySVpeLWqfYHwZmy8zqqYNRDAkjGU9CGOUasTawPq+UZqmFVFeGSTfnaJeE8WiBxatWM6kzUBQkghaEoQBPWkFMz2dcn7uIvC9nSFxV5J1ww5VvWkJ0PSLq6sa29DUURfF48XOtk0HAeGWkGogC4gtc/rSCb0wEAdN9/MlSShJyP2E/hVXqXn+8GPqtbu3L3/xGvMLh4wcXumSitjcZDZHSUXQr//lL/GLf9GhXl/50ucYjl3U/cUvXuVf/KvfdvdhmnF4NfT3uUHSmoTYy9g9vaQeuXHkeU0qtGQnMx5BHoQJ+2O37mg0mYi9FmVFWblnparMZ0cUWQZakK044srRjoyvoj92a9nLu9cYCMIadRISqfCcdU7Rolf0XG+P7104OulhueKLgXToRnPyFEyzsZZc9rCsLrEC5QRGe3S3MpXXcQvjPqN9R6XZcsYsFyTSBmjpHYYJKQShstpVpoHb+5rikICIQHqKUQcooYGMrnzrB7YqCI1R1PLscms2/b8uYZ24oli6wRwGzxLuCp1UV8zuunUusBFWqEmVWc7uuLV+9/iYci2Vz3nErnJ7w2R+TlfuiV0UviXED996m5MPXEHOV3/tFynPXerMelCxvubm+3fe+xYnsr6+9trvcGXkKqIfnJzx+Zc+C8DnX/pFvvcD19vy3/va1z5xXE9UWt7eDjyJFIS+KiNUtS/Ls+TeaUmDkpXd9Ffa7M/K5/boQHlKS5t4SxjJPlL50Hwy1qIF6gu1phYoWSvoiKBfaepNydYlbP8wJZFJcXh4zJf/8q8BMPuf7nH1wj1ANbxKX/JMwuUEJQJXIQYli6+2lnUkwlF1STCTXlTFkoU85FkUY2Q0y8WC1wP3osfLipGo5U50TSaO0DIOuNsojI5GvPKCqzr77g/e4pDLQ7BH+2NiLQ5VFDMUtcvxzoCulPUGQeDLre2W2FW/1/W0RJ4ZLgK3yZ19cIHcci6WC5aSf9DrZr7yrtMbkDbUm4LFcpN3srfnFlxWM/ojyREKAt8LpSxrL3fwtNbMQYPynLoG/KVoME31IZawaXJrLZVQDKouOd5x+QxHRze5ecOVaN6+fZexcNXTt99hVYjg284RWe4E/UL0NrbtzdqaTRevp8vnKYuKUFRwCQNPbWiDV3dNdYTsgcRR6MoXAasURt6VqD8gkfy7H77xEVo21t3dPSbSv2eRFSybZ2XuEXUkR6ge8+DBXQCKckUti3WSRL78tcwrLypZFtVTKUov1jm2bFRWI7rdJr8voBBnXOvAL5RWBd65NChWTR4RBUruSTftU8pY1vkFQdg4TiHDgcD06XWCwI1lNrvPSgKUbtr311/XBUboLQvUZaMgviB+CqBca+0FBoMgoCtVmKvZAi07fExOIu/QulyTSP5VN03pyjvR+8xN3v3+hwCojmJPhEJvXE+xsqzP5hFKuTn8M1/9JQ6fdVTK/GzC/MKtB9/6xpv83b/9OwAcXulz6yU34LJek0TSdyyOL13SvEgt3b4ItlrL55Bq0m7OTIouj0Zjn6O0mM1otB2XWeb7s6Xa0jCF6ywjCCRtIrAkksMVUDKR4HN87TmOReQ06ZSku26jTG6co9+SUujpwlNCaRSRSr6SKkpKCdQvZXajZlxXFarh27YqioMgwkhgsVickeVuDipb8up33wCgF1j6u85hm2cXKLnfloCqEZXEYK37bmhCTNV01w3dPowkgIizZIxB6UZSRIESrtkasE+RaxZajCidzs/mRBIcVFnJ/KzJuezR8Ha6iJnddqN/rvsLvPyMexaDvE9SunFd7/V86T0dTSB5nw/fu8MPvvMdAK5evU6xcFXWvRshb7/rlOBf/Tff5tldR6cfnEVUH7hKveOkz9n7bk/6+vJN3nr/zmPH1VJarbXWWmuttdbap96eCuHxScJxipF28YoYKxVD2kRoqaIKbE4iks+VxSMzFidoCC4INrkIZiUJWqpQ7BaXZrf+V+uta3Bxlhxfex4h1JrqKSS0f+4XrxFJxNDvHrC/L7Lf3Q4MHOxKbUimDmYL6swLeAVYAhnXeRLzu899BoAX79zluvQJmemQuUTCRVbweyLB/61qwc/K5yONp67mRrEQD/1+P+E7gnhWpOTSjXb/MCUMH5+Nvm3DtMvouvOykzjx6FwUBV4y3ljrdMlx/UkQZKTIKyqJirrdiIltOnNrr/qdBFA3qFpdo+Sc3U7MrWecVz6IQ65J0vV4/4Bi6SiTeb7A6iYpfSNcmUYB0c6/o/DgVhnMRlBuowullCJgg8xpf4jGyNxJun20VOkVtWIlCdqvvfYdXvziF9x9ijp8/mVXsRCnXWYTB+MOuj2KYhMxbhI+fxTuuDz8MZ3MCLRD5tIgbvIYCVC+B4+1FbX0LrJRQDyQfmhmg7qoKGYkdEZWfogV5CRaZ1wIhZhX1qOti+k5SKWECuD83D03S0UiFWGlwd/zKIoY77mJsburiaLLz1N3iRK1KkUlSE5e1L6zeScJUHWDwhmvV6NMyWomKGMvpRTdk0Djqw+zcoWRnnKYHIQGiLo9rr3g9IWmJyNuv+OSe2eTOwy77j7UxqAkoo6ilErogXVRUNvLV0zGcegR0CgMPdrdSSJ2RHTPBBmxcOIdA6Oxox3Hu4dMJZH/4MqYnSM33vl0zq1n3LuS9GAilaPjw2e4+ewvANDv3eL+R268y/mcf/0vHY31D//OP6Un9+ell57zejtFZb0QYhzHl662ey5PmIlIoO11GO87FCU8/YihnHs8GDKR96nKMuKk6Z+XUwl6nnYS335ilheEgsB1QkMt872fxJwtHHqTnzxg9+qRXEXJXHa2/q0rMJH/yCyHK/dOdLGcS5+3olq6xPhLWp4XrKZy708uyOSdq4qK+w8d8pCXBrl9XJze48FHDnkYDxPWQtVNzqbsidbU+vQ2K2k5scwK7t521NvnX3qBqnJ7z3J6z6eGFMYy2nMo1myRUYt2W10bInkndnbGIHvqgH2qg2a9OXjyGMuSQsTShqMeWuD8u+cXdLvumjtph+XErQemjDmMXfUy9ZBaqn/XH6y5c+IQm+44oSO5GGE3ZCD6S9FKUy/d/IrPh3x836HI99ZTcu3uZ2W7sHSI7PTD96lFoDYIVqSpO8/37v2QIHk8EvlYh0dht7LFlc91CYIQ1Si9VhlCGWNVSNBsXtTeyXHV7VuLu2wAgdZEjaqprfxvuX/3JRH41dQagqYs3bjFrDmmWRzBPlUvo91x6mmMsJhw7euvAbDXO8JINYCmphLKSZfGX6dV1sOZD29d4fw/+CoAb3zjDbLSiUstippUerZ8d53zPwrNcKYhkuaOISVrKcdUScQd2ei/mcG7Dx18uFs95BvfdM3cvvCVLqa+vFM3SDuUkuMUUtGRB6aV2vRsKYpNsZIx3hHqpImHb0MdsRI122w15WDkJuCNK/s8PJ34e6ID7X/rcN8d8+KzzzKUlzuKY9SsGTs+YyvSmkog0jDQhPHlN8tHbavaT55VsKWUq9BogYBDE9KRBqomCsmlOWpWh+xecRVmo/0DZkLZhZ2A73zP9YI7Pzvjsy86iatv/OHXSYXSTPbH3L3rXlpjzNP1dvsJZqipK7eITFcJPXHGYgy5cWMp803uR14blDihyhgCedWrvGYogmLaaN8stZhfMJcNoNtLvaL53dt3XFNgQKURE6FC1sWaQqQX6iIkkIqXqB9z5ZrbeHpp3yupX8osKHEGLK7ZJ0ClNpWUgdqQgljrS3bzbO3F3bpJSCJzpy7Wfj4mceopaGuMp/m0rf3fd8eHrMWR+MF3P2Z2IU7RVuVnt9cjaBrqGsN8dv/SQ4zj0PvjYah8WXq11Zw0STpo4xyCNA7IZeOZLixLqbo6VEMODp1UwjLULETRvDfapXvsaJJrh68w6LsgbLbIuH3nTQDOz09543uOfr3+TMyXvnhDxgWB5Iv0OwOfu2OMuXSV1tliyZkEY8mNq5y4bYLpecGNntugAxRrn46gWa3dPS7K0lc8GWKMzIVplhOHEvmFlkjW9zRO6Eme18MHd9AicpgOOkzW7l3ZvTqk+hmp6HlnznN3ZQ9TFe/PpXnzcs7h7pOdgMZWiyXn990mfnbnxKtTWx1QSA7ax/ce0BOaMQ1Cn7tyZTBieu4qmL7+B/8Wm7uN++rxmNv33eb+9g/fJJIqwGE9RuPWVsoTRmN3nfdPz/n4LUdpllVGXbr54prcuon0kJAgdPfc3nqRm/tNGsRPPXGMH979mD7uu19+5WXeestRS/dX5/zsl78CgMkrVnc/ACCvciIJIq9c3+fue+4+TE6WhEIF192IQp57ebfmfuUCxIs7cyYX7vhv//aHvHf+FgDnwX3CZ6Sjw3rKe+L4RSvrxTVRlqPM3ZNBb5/O8PGOa0tptdZaa6211lprn3p7PMKj2ETFjyQRKy+2pcrMCw+quEMgGjKBjkhUI8gUexrLfd+Ztcr1lgGsKX8kimhQlA0lYGGjYaGsEx8EtDJIgCnVXk+BDOjYa2HsVZqr7zmvMzzL0E1y9W5CeOI+R2Xto7LYQiDQdjUacuVZB+m9//0f0hN9Hp3nTAWN+ceRZiIJelFdcSLwXlWHrCSR+HYU882F84I/PFlxeOwQkoP9mONj91u9TuQ74l7GUqXoSLWE0WDlu1lREshYOjr2PXsgILCNBHhNJInEXSIGgrANU8tLL7jqoLw2rL7lkLG6NpRCFeRLy73bTqcmpSIVyH6dX2AFIu3WyifOhmGAkSo8U9eop+j98qg13JVF0UR0Ci3TXREQGTdHPvvsy/znf+2vA9DfHfG//6P/w11X2OFAEJ7d3R2+/W9dJ/RvfuebXEjLhv5wzInIrBerFZ//jIum3/7oHY9sPG0n7Z9kYRgQC2qxWk2JmoIAbbhz4VDAUZQwkoTkoK6pJZ6xBtZChVgM+6LnkyYhE6moy0xJ2XWR2GLykMlDhzJW6zXF0j3P2+UHnE9cRPrsi89Si/6PLUMWubuGMsi9xlKRlyzWj+9ts20/ioRVTWO7eNOCQWntErJxAnCNIKG19VaCcU0QblXcNd3GoxAdbNaGJhFXVyU63FSZDSRZ/fjGS5yfuKjywf3bvloq/H/b+7JfSa7zvt9Zau3ldt99meGQMxxuomTRpLWQtiRblgEnAfJkB0EeEyBIHpPXPOcheQ2c/AVBgAAGHCQGAtmWYcmORIlaOdw5nDt3Zu7cpe/tvbaz5OF8darHUGaasl9C9CcIbPT0re6qOnXOd77vt3AOQTtVJpp2/TIhA4H6hwZB4C10oBNo2glXGkhJN0uzAr1NVzErTIwReRHN8xhXn3FaOuXmBR6Qi/3DS4un6fNrm/uIU1ftaTGJu3ddhef87Bg7u+4cO60+4pjamkFjQTOdlb6y2263l25pnRRzHF7UPZsAZ+duhx4rjZQqy9PpFKBqqGZASRUSZZRfJ7QxyIgdOphn6JAgaVzpGosPaIUt8h0sqynO7ru2UdLZg9Tkw7XbxgMSIdy/jPDM1MEU7p4/wFruvqsvUwSfYj7NFAM9cjibAicP3Rw3HN5HTJU/EQiogggYnKPdIiLKfAhLjMN5PsKscNWb7f3ruPGyI6WMBw9xduSqhoP7H4Fp98ydXU6xtu4YSTJaw/yc2jpRDM2pPVcUHgSulfIMtWkRo7LLr4v3js/Rp0rag/IE37v1FgDX0r77nTvu+NMcZ5+4Slc/PsAze669by8qSDr3sq0wWHfXp7/XQTF281BlBHrG3YtJkUFIV/3vhk9ht+fG+G7nAAevu3H33Z/e8pAO3QfaCVXPYoGydNWtnc4e1vrtx57XE1taHvew+A/W+onD6ACGQBAcFpZaBVwwRNSHzk0jHrh4JAMLGdZMLgXtBZMWxAr/dg7k2xJNcAZvdOfmoeVbCMZqz/oI1BbyiRvJyXSElMqEycMJmGfFWM8CkkpBE/Vnb3SBOZlmnmcTJOfuplVguE0L+ofdBHubRGGVHPrElTDPuhE+bLkH9+cnExyP3PfeeG4TX/26w7301hMEpCRqlPVeTcvEmgxRkUdOXlWQ1LMPBPMMEKs0avlYywQ44YsCyyHJGFQgQG/NDaj0xWfx0stOjPHkZIAW9eGr0nqV4VlWYnjmzvEi1F7IbK3XQp/otYD17TOtDWSdGFuB8FP42zwStT8bM03SagMEJIZpK47f/dq3AAD/5l/9W1zZcHTdk9MT/Ot/+s8BAJ1OD91a6ZkLrG+6sunVp6+hojLu7vYOrl11Se40n+Ct94jy+vDUl5UXvbTcf3+1BEhKiTB0v18XY5zTdX0wzPCj9933fvPVl7B54H5z2Okgp69SE9VQVVEhbZMH01rkaexFZVESs+n4wT2EfiwYjOZuorl9+A42n3H98v7NG+BBzSQJkRCDTAiOEdHAJ8UUI8I1LROL9GfGGHgtz6C1v6WcB56dyaxBVVILNOD++nDOmy743/qO+l5wzn3LTPDSMzutBSQxF3evPodO18kRzKY5srFbUI22CJT7rjCSC4KpT44wCB/5TaLGBbU7qCZuAeNBChO639bqtrG24RKYt289QLvnXj94MEdB1N/N3hratBDm+RSjifuGq0GINjHRzk4e4uPbri1x+/bHiOLaayzwHmRcLIrFWgj+6VtaE5S4oA1w8PAcM8Lk9Po9KEoMS1uhnJNAbVFCeaPU0mOatLaYU5J1OslhCzIkDiIo4d7vGiAiWZM0Fnj/jExTzwuofZewH90bIqRN2qQPnFyQuOMZR0GtXSkZWLA89T7TEpek3vzxhcLbP3dU6MuH73iMmFEZpKjhHaaBBUjp2ypRxPHRfecV9Z0f/hjbO+7eHt0+Q0Uq/PHaOjbX3BqQHgB98rurhhZbqXsuL6Yas5lbt6Z6gnr9M8x6BrJKt1DJ5eUTXnr+iwjoWZnpKU7JRSA3Gd76/pvu/YsL78X44jZHVbozO3lQYWxcIvftn/1X3Bo6BtYLr30Zn7v5CgCgZYYYzNy531P3ERLrOA1ixAUxMoM+YlqH5tMLvPhVt2Z0OiEu75DgodqEpFbp5s6WH0v/r1i1tFaxilWsYhWrWMVnPp5c4aHEni+2tFjDtNJMgpPegAwMWA00lUBtthMgQG6ZP6ZvV1nrmQ+o5r5yYmEAu7Br8h5bDHX2Krhrz7gfYSHpOEwIzMvl87hKlQhjB/67iF/EH00cMPjmXoRrp26X9bnxDNcIoNkxvNmxWyBP3Pd27j9A7z//FwDAMx/f9pWoMYD36JpU7Q6ef/Y6AGBrawvv/tlfAgB+ogzePXK7u2Fe4sUvuIrDV37zKaxRUs448603oyy0Xn5X+fT2nterMLBoE9jYWOsz9LIo/HWulPKl2SBs9JGUAaK6apAXuEI2A0mUeJnwqcr8uc+NQki7nJeeexb9dXcym1f20N12JfWirFCo+rw0uh5sWvnf9umjHmvMjyNhY3zxBQe2+8Yb38DvvPFNAMCVrQPMLt1O+eTuEcY0ZteiNqZD144JNrp4+prT4dEweGboWlecBd4ROQoTDAYjuq4NEPvvKwTnKEigreIcPHU7WDkHQtK2MFr7NlAaBCiogmGMQUZVGmUKL0P/uc8/i+svuPc/+vEH0JnbJf7i/TvIqTwkYoshfe8Ht+/gN2+6azjOx+C0XwoDhYyYKkJJhARyTpIEaZoufY5SSl8ZY4yBe+8c5cc+RwVDrag4TpweCf1tGNSO0RxWuR2yVhqq1voS3LdmuKzQ6tYecdJ5zMG1Uoyqjx8gn9NzPJ54vR0GgyipqyLMa0ctE4wzX3ZyVSwiRrAQIVUUi2yGhFpLu089haMjspmogC1iyBRM4ZwqGg/unTvNFZBWDwE3i/kUxzMnqPjO27dwfHxM56gQJ206x9j7kVWawVA/JG2l4AvntSzbLm6neJoToD5MQe4daLVS5HQfzIL9QalKr+EUSoPAV+ptY+5dGkxJYymMJFrEZgpjiSpyz6tRCjOq9k0nCqdDEj+1EXqkZTZmBVK4iuZGN8TRxD2v96oRtip3vf9giXM01kLVTEEusPfUFwAAV596wdu2FNkU9VJ4eX6C0zNXITHceKZVbhM8uHSvz6ZAf0CtwOgptLfc8/2A72Hvuqvevfpr1yHpXHpW4AaNx9FQYXDixsjR0RHmVLWdZwUM2Yz0NjcQhMsz0b74yquwxM4dDk/xB//kDwEAf/o//xQlPX8mCNCqhWt7Bj8/+g4AIE0PcDJ2Ldbvv/tXaO24sfbO2++hNXPH/MPXTnG0/RsAgI/O1wC4ecjKKUryf1MQ+NnPXMtsclohUW5d5LM2QqrWr/evIiIvOCMEivLvwNIyuinW8qBJIjiDLytrCCiPaSlhqKHBLIelxSbiFUrCHLgJzUsJOslWALzUnkKsjV1gdS3S4q2nTXJmPRnLMnhfEa2Vx/ksE8ZaGCq7XvIx3k9I9fNzN3C05ha2P3//Q7xEvcpvjTM8nxOtVMRgV12JXw4vcO3bfw4ASLTCffr9Q8lxO3Y3p5V2sLNDyqAvPI+3/voHAIC3Pz70/l9ffG0fv/EGsSbatllUwtgLABpbPpoQPiFiLr0vUVmW4FQy7HY6Hhdi09SXsMu88BOxDCQUfa+FRbi1VV847O64AagrhU6HRK2sxRG16kbjEf7xP/w6AOBLX3kVKbXtumtrvgWZFRUmxDAJRADQQzYrxpCfIql7NBqxQ00z7uc//xr+/b/7jwCAg80tGBK4y2YZDu85Rt37dz9E5SejCv2OS9CS5Hn0yUduf+caOKm4Hp+e4PTcTTTtzjq2dxym6ePj202S/vfA0AIAZYUXF9NcgmyyECcB1gm3k2VzcCpbM2tgaio6Y74lMZ+XKKlMvL7VwuauS/bbVYkffP8dAMCgLFERLfbZF/exdcNhmd597whrm268W8tgWZ0IG8+uqbLKq8TCGK+0+ysFq4XVDEDsIaMaZpaUohmnMvA0eWZLjwsTQvi2Xbfb9fifsqzFEkw9AAAgAElEQVQQ06IVcHjaPuCkCgCAQyEg3E6SRAhJMbbVaXvDQmU1LFs+MTfGeOFBKaVP6hgMAjJmVQaYkInxnfsTTMjTaGN7CyCvwojB++OZOEZG5sOTYYH7h+7e3bx+FdnYvT47vocBSQrs722j3XaLUDtNG6FWaxYSMLGQyDEotRyGZ1cnmNC9OjYFNkhUtBPHqCiRzMsSqmbraA1lCEPELKKa/aaAhLCPbyS7/nk6vLzAsFZ+bwOsltIAQ07tsPvHp0hJ8tj0d3FBeK6jeYGYTun6eoqdmUsGJnyOj8rlsWZ2Qc04TmJs7jsj1rKsYOlc4oD7FWxte4bdWn5FNNcxDtfh5VeMRkhJ9Ey5TScAHGcW3/6Rw/O8+cEZjCG8LAz6fTdeNnvr6CQ0Nrt9bG671hgTFobm/e31FjY2axjBk8NY5j30ur0+fvTjtwEA3/6z72Ce1/5yHAGlEBsbMbqhY6Ye6SP89e0fAwC2ru/guZdcG25WVXhw6M7lj//mHuYkPJijh2HlZG6Gd/4YNnCJfDs9wOEnrg0bJRvYTZ268vb2MxBPEVaHc1jmdxDAE9rLq5bWKlaxilWsYhWr+MzHkys8noEQ+JYTGFtgXVnP2LJmgoDV2hYWVtYeW9rzpjJtvTdWYzLhhOzq/tkjuGOnVOg+XyvEwX008MBd6RlbxnI8KctbDCYAYx0TQ6tz3LzhMug0P0S/60qJoxvP4d2nHXjx8HiOb73rMtnXoaEyEhUcTnFJzr2H3OCjtqsI/EgwnBFbLQyY9xZ65ulnPLg2TARe/ZLbRb/4hU1I8iexhtebXFRVgZIQ9wzCg+CWiZPRBc4GrmUWiYbtU2RzzOe+Z+nZEmDwomN2wbk+YhKWdvKMM8/AuRgNwKh11V5rY41K11/+xpfwW7/nvMlKVfhyLy9DgEDUp+cD74Tc6/UxnbhjjodDhEuLKzbua8w1Yv3rmrLwza//Hg62XAUmUBYVGWXNZ2Pcvu/K/m++92OE1II5vDjGDsm+99fWvFBhpQBBJfsgbiHp0H2IA0Sp23WUlfL31poGgf+rQ5aBQgcYE0Pno9vvIkpd+2kyznD/rjuX7d5VVFQBCMocCZWzqzBGSsBUIRguZq6UX1QZphnZHPTWcJ67Z/crrz+H4bG7DxUzmM3IOy4JIVJ3T7gNPVPQqgCsZo2FyovKzUbn6JO42DKxCIy1FtCqrpLBUc0ABIZDEPNOFxUYVUiKogLT7jdUpoAi1lgrDtw9gKt01e3ZbqvtiRFKl2CeHaT972BWIyU9oi98/mWMh64lFEUakHU7L0KWL79vdN9Zn6f1UAHOhP9tnd4GcvKFOj2foE997TSJUeuTCcb9b+aMoUvjtiXbCKSr5FycfIJex2munJ6dISW/u43NDX/uQghYqvBwwb2gIqAbOAPnvrL+pNiuAjwQ5NsXa1ylFlxggGnl5gUmmK9WK6WgPWiZe+sBowwSwiy8zre80Oq7iHCb5p3jbA5DopjB9hrOWgSyzoHs2F0DfTGAfMZVzOeW4QG1z2Ug8PsgcLpZx4/D5at0Fg3DrygKTKn9qxnzrX0NA0XVZSW6kCmxmnnZrHM8Ql1zUJWC0k1FTdT+lJLD0IJ5OtRgjNhnqHAxcmPkEzFtiB9Kw9C4EIKjTTYfN6/1sb3mvutzN54MXs4qBVF3KS5H+BsCKldag9O9eP6l5xDTWB5dXGL/wFWLH/ICJU3de7u7SHuuEtXiFreIbPE/fsrQ5U5v5+DZXUyou3NejdAS7hzvf/ILjEn3bX1rC3tUjT44uIqqBjNnI19pZixAIB9/Hx9vHmp0429lbcP2XWg4OWPQ2qY+WKCcKwhaNBnnkAu9+UUpXFtz6Bj8A8yYaPA8j9LD/CsG49Mlo5VXIVxshi0TQdD01IO4QkATelWN8N6t7wIAxCjAOglTPVy/ir/8klPazdI2Lh+4B2vQ6+OCsEwPiwnu0rkcDkfeaG5HWmxuukWUsxhzwlW89PIevvCq64UKiaY/rCwsCVBxzrxxZ1kWUNXyS+fh2UMcHbvS9v7Gtm8nFQ/nEJT88CBYKDMrz5iJoqjBb2nthQrBGCJiieS2xM6Ba29lmUJry53Lr7/+Gi4L9xmdz72427DIYCjhGU2HYJS4TtgMEScmVcKhl4VGBK0FjJkF47UBogERbrC90cd84tpP3aTlfZF+8cHP8Bc/critW/fe8diorc0D9LsuER4VBZ5+6mkATlAso4RuML/Aw1PX6pxlMxzeu+MuTdiCIN+aRzpajDXCd9Z+qnbXB+//BJVyiUeRT9BqUevKGIQkWtnv9yCDmj3ZCH/GMsAOqbLmZY6CjEerqoSeE76Fw7PohLTgNHHklcEWCUbGbQkryaQ35CiIrq4qgbJyCYYxBgEjddfeGro02S0XjRo2FwKcEd6GGXAad/Nsgla9OKkY9fqslfKt9YfnD3Bx7u7d8zevI6bWT1mWsNRuiZKFMcOMp4c7nI/7DLfaC6P2ez2/eEznA0wyNxEHVkKEy3sUgVlw0byujZQZF34TWRmLhHAJnW7Lt9um2dzjtSSTCIIau2UgCXLAJYNRLiGYjxVOjt09Oj45wc0XHX4wimOvtm6sbTavjHk2nPNk4vQZvfRYzXoSpwQViZNGkdqYCnmNw4kjlKr+fgNeJ7PgiGkt0YahTW0agxBB5b7/17COm7Eb+4eywE9yl4TOJxU4zWVDwTEi/F17NMSsTXPZznVcUrJ/L+K4E5PMwHiEzU/R69BKNZtD6zBjABAIDkbjJZ/ntXA9lIEvHHDLffJe6QJ1wiNlBFkne1UJTRg0ZQQ0XftKWz/eOWfg3D1nknPMZrV5tvReWgELMM3cH0ynBnn+eAbTYgxHQ4R0nNFo5r3sirJETBCNr33rt/HRBy5peef7P8A9QaxjWQIkhtrqrOHgqisWpHEbh+TFt3FXo6TiSJlpcFWrejNowmiNpw8wozGzHe6g03f3PYoTmHruyQtMZm6DNZ5MPb7vG7/1yi89r1VLaxWrWMUqVrGKVXzm4wkVHgVG2jKLlRnr/tG9D+u2hwC0lV5IUBkFUfsYgSORdfUgQEngNQbjGyYWAoLaDJwH8OkxmuzYwnpQnWAatmb3GI3aEMkYi0+DE2XcNudigYJ2EiwNUe259y/KKU7J4mF6fB96z1V74v0d/M2lq5wMJiOouftMURYYkZ5PZTgSAutWymKD9Fx+9NZPUZJexfXnr6E2kWUQAF0HowFd1ddBN8DQUvly/zJxOc2REXp9OJ5AEOMsn0699kqUpLBUJRNhgDb5MJVl6UXccl35ihsTHIoE+EIE2CLPrMkk9+3FrJwjJ+aSqwS697UZ+QpenmfQdK/jco6YKjyBCLAs9jyJ1xaqegyMqhyWcYQ0BH926x0YEnT8ymtfxuXItfj+5M/+FH/xw+8BAJQsYKisNJ0aHHJXJfj5e7d9xcsa4ythpS6gqKrHGPMMo0g27RIHUq3HOPMlH2OWv38AYMox4th9b9hP0ab2WT6ZY6NPTDTB/HUIw5Dau0A3baMQ5CGlNfapWrne7eFs5MCCmSzRapP0PGusFqwIsb7jKnatXur9jXggEJCQZGhDtEg6P8vmEMYdJ5ESmV4O7OrPs9bY4YAlzzpj5wC5ZY8m5yipVZckCWpVGyEYQqpQ/eDNH6JNAOb9zXWUJTHIohCdjms7Z7MJQnom2t1W0wbgAmFIlQ3ViBZaU3t9AWEYIKYKXlUAnC/PfrHWei8oHgpw1lTQa1sVzpuWtdGNTpUQAormAwtd8z08CNpdNwvO3L0oCo37R65de7DXRxzU9iIlQgKTa2s8AcUdq9kD2wXg/bJu6UetAlPSvelUzO/ihWR+7phnma/2AAZhTXphHEH9odJ4ltgHfI4rxPzbGxfo1G29VoUetTGvDSVyaud+HOe4Q8KmGzbAcOSqAZ124UHO3TTA8ZQA4FGJ8FM0mxnj/p4EYQBN1fa8KFFRZQa6EaSMAuu7CMZY6IVnv66cWWU9i00w21j+6Aa6wIXxFcqssAB5VSY2BqdjSiE9+aQqDBRVWxlPIMSyEAHg5PIjf19i1kFJujppm6NN1cf33v4pTi5cVSdMOY577rc+PD5DkblqehoJHN254z4TJKinIUiJlO4pl5FnhIU8hNKuYmOYaYhMWgOkfRXIACZ271+5+oyfd7N8cVz98nh8w8vCo/NP73yMlJD9WzvbxJygG+aR8sKzIxhrbiyzJQK6+a0oREVtA2s1mKipniEkPRxKOOEp4NESlFmgtAvOfG+TCeEFh5Q2YOxTMEOsQVPR5eCCLrDS6HTdcfqvdTAnxzf98Rh3PibBpJ9/gLtkWGi0RT1vFBaYUStqfWvDm+ONRxN8/KFjBL31wzdx7aZrFexeSSHrhYRz8Ki+hgwFJSdVVcES8yCKIpiweRCeFMcnQz+RVXmJkBbLzd195HR8VRkYWi7DNIagyeb+8REMDbrezpZfCAGGGoxlrIUk3xheGu+nZlQJTQ9oGIeeDJLluTMxhSt5NomN9fRXa4EZJZBPCl6FPtFmnMNSOdVw7h/+v/juD/HWm7cAAL/48BOcnbtW1E/ffw88IOVhG6HddS2YNOkhpwVRc+ExOQbaM+faIiTlXFea9xiUUEPU91OIR6jWliYwYy2kXLZnB+SzGcLALdYhF4gowVhrd5DPXWI2n8+QZW4yYiH5owEQMkCe1WaaDJtdVxo+v7xAQhsazixELZTGDXKi56MUSDru+vQ2+tCoDYEjyMDd8zCUUOT91ApbPuFBqT37cJlQSkOTZ53SFqIi8c75CQLaME0vZ8gDN6Y2d41X0g6kQEV/e3ZxCU5U64eHR2j33Ov1/gZahK2DKmEKd3xVCIAWAw7W4K8gYPwmQKC4JCbJZIyyxr1UMWS8fMLDWdAoxxsGU3sVovFAcsm1Gz+q0m4TBMdE49TOY7qZm6WUPjm0AHLy3rp3f4wuYUeurG/ifEiGnYbD1M8x400ybxcX4l+NYTjQ42Y9EAysbslDoEWtxeF43PiY8UZtXwgBQXOoNQJjWmNGk4HD/QHoiQ5qQGhZzLBLa8kzIkHPuPucV1OcEM5nZAFF7MZqXnhMpNEZLInJbpoYaav2mXpyMM5R0W8bFzNMiQIPw/x8w7lARRtUVE17UArpPdOqqkIY1vdBNVaSXKDue8YLcgDaVJDUrlcqh6bNRJErtAijZ6H9WjjPCrRYPRdH0NXjk4HFuHX/B0goqb+2vYu9m+74m9dewXxEzMWsRHvNfeb2uI3L0F2HKcYoCIOmdYU2bfhPTgYoiOFlmcAG+YJVRnmPzCQNMSYc5+bWJvb3XTvs6pWnUbvoad20WI1tCi5p2kKSPF4GY9XSWsUqVrGKVaxiFZ/5eLzwIGc4OXY+GN/99v/GHsnof/6Lv45u3+02o6gBDlYGmJFGQhoyr4ejbMOsCIRGQNlcWTbtJIjAe9WUVjc2E8yTtGCtgTF1VacBUS/uTIxZAOEtEY+ARy3zQECtDUJJLtG6REIl9evPbyC77kTzhoMM20ckEHV3hPlM14dBi9caBk0Zeji4wF9++38BAPafjvHKV5xeQhhZhJ7RJlBXj63VYLwuCftEFkHAfQVsmbh77xQRc79/89mn8fLLLwMAOq0W5gRaLfLCt1sqpZ03EQBmNMZj15baSnseAKrswu6dC1xeut1jNix8KbebJrDUarRgHuwrIcAU7Zxl4KtPYSCRkJBjUeQw0XLVgX/xz/4lkqRmIQmIWnNIqabyow1iureSM7xAu683vvU7qGVjQsthdM2okr7dqkSj/2Qt/DGRawiqBkRx5EHl2ipfAZVCNK0KwGtHMcY9eHyZKI32bIRQBuDUessLhcuJqzysj85xOXLnWKYZJFUtIpOiIL+Zbqfly77Dy0u/G49F5BmWacihtduhTSclipmrhMTtFAVVFRJVQCgC+GuFpEPl5iDw3WieWviLu0Tkee4rFdpUEIUjBJjZBUYz9/5smGNzx+0MAxnUXAUYY6Boxx6FKU5PXan9YLOLTfKji6REGlGFJ6qQZe4zRTWHhKt6CiE88LE08JpFVnHMacM+uJyBOsEQYYAXX7yx9Dlaw8B586zXVRrBm4qKex7qvajwc55SthnPbFHPDE0VUTKEsZufju9e4OoG7erLU3Bqt4SyA2NqUceoqWg9UuF5tLW1rJfWVMDr+uhANM+/rTzzMw0ClMTY0tAAr1m4QELMpkwB51TF3k074KWr9p5EJSRVh66IGGFQM3QUDqybA54KA8SFu8aDssJg7ioGszhBu/aZGhVo0zhdEx1Mi+XXDNimRcUhUNH8bjR8O1RyeDIPIKAJxqG09vMd49JrE0VRI36Zl5WvAtlSeTf5IBB+nkvilr/nqlKe6QprPaA6iiMEYW2zY8GXZNoBwBRzzNwUgNndnyJYJ0+0KEa3dGveU3kLnbG7p53WFaRr5PWnK8xnBAe5PMfGtiPqyCBATs9oWZY4P6d2WCT9NclnwBp1kp59/gW8/sYbAIArB0974cTZbOarklo3rErO+RMtUB6P4WEGx0euffPRu7/AhIwDR+dn+Obv/z5dgMSX6S00pgVdVF0hIb8WLgMomgUjZhDRrF9Y4ydHLblnXUXCeAr2ItbBWAtdi69ZLAh4cd/uEQKw1fKDl3PhFyohWLOwwXpBLK2V77UHrECHHrLelRAHO+4mH1wNMbykNkBo0SMhvlaQ4uE9WjBaFXb23ID93Cs76Pbc3wpwP9gB5nytUJfuGnXXZsA2Pd5lYj7NEFBPe393D4oGxf2HJ2hReytutdFKXUl4ns1R0aJ4/alnvIyANQwhCYNVRvsWVdzuIGRubEwGU3Bqjdy8cs17fs2zHFOikE4mE1Q04cVCeKVXIZsFoNteA6+9rJ4QV/cOPDOBwQktAoAwDSbEWngqMYeBrIln0qL0g9C1R91xeHPtrX7E58njGaRAjZqxVQVJC5ZAk0Rz9wfu88b4BUtKjuIJ/ebFsAwojZv4pDLgRAOfzmbo9tw9jBKBisZsbqxnbxnNwcmUdTA6w4QS86wsYOjcQ6mxte6u93p3AwcHhANRBpLGXRJFUBN3/M5O1wuLGnAI2hyAcShLJX4Y7+G2TJRliZIYZJxbGFJ+ng4uAcJqKFUgiOpytvGczEBKjKduUj47vUSHFtF2p4U5sQmndyYQpIy9ubUPlbjfWZUV7MKCXk+aRZnjkqQA7h8+wDkxTKweYXvdTfr97RvY3j9Y+hzdiKgTFeH9lqxVHhdiF5hTjHG/+Ekp/Gturd+UcB74zwshMKSWw/kgx1ZIyr9ygCpz7wfprm/FZpUBGG3sFnBoQSg81oj+camzG7I2ShovyjKfDMSqArMzOo9GUqRSymP7EgakJKDIeYAd2lTfKBTOEnecT7IhngpJdM5oTAjv2OYcnJIBYzO8FDo5hEgKfI+S/eHsEnuEP9mdF4hoLbFRgqNqttT5AQ7bClUzaYEWHRNcIFxoQdWJh9bab/4FX1DqXxAEVUp5FJHWjZRFUVV+zo1C2cwrCzgixhhUWVP7G382hxciHBy0b9suE4EAJrSpytQZWh1KRNkQUHQf+0+hoGdoe7OFLtx1SNa+gCv7jhF4OrjA4V2XQ8xnJc4HDvMahO7/ABCKRnE84ECHhFSDMMQZ0dgZAo9/DaPokfm4CftIov7LYtXSWsUqVrGKVaxiFZ/5eHyFRxufMQWBxNmJ0zwoinyBTcGa9oeFZ3FkCohUDViVyBQxdFQJWbvyMutFwUrNoQjEGaBEXQp/pERlrd8tW8m9y7k2BoyO6UCMn6KlBe39N6Tk3q1bL7BrwJrKT8ClP3qhK1+y3diJ0O0TiDMSXvadK4Zu113ma6aPpOXS2iBinvXBBXybgXMJzurMnXtfH2MYwrDJ6D9FdRJSG+yTNs7+3p4XhptcjhC33C6KBRIp2SfwIMCkZomUpQfOBTJqKiBlAY0aWC7BSCRMlQppi7xuRICg1pYQAggJGJhwFIKk1jn3ehtCSvzi1rsAgN2tTay1lwQSssK/NNaiovK0LTV6dE4aFpPM7UwsYwijukIyxWDoGAXKNEpPnHPv5RVo80jZ1NuYMOsrkMYY72PlZBCbcrO3OjEW3Y77Pb1ev2nnLhGTyQQxtfvSboSMdG+sKdHruusXJBKCtPN5AA+a1EZ512QNC0EMptAkqMjdORbAwYFrsQ7OxhgTGH9nf8+3lI0uMHlAjKfrWzBx3XsNwQlJysBgadetrAWTyxMItNELu+IS3cRdqxIXaLXc8/Tsi9cQkZ/QdDpGl6qDNgpw6x03dvrrffyD33al8HZQICvdLrGspjg7uePON9lA0nXPRF4OUdLzVxU5Kqr4TmYTTEc0NuYTbHbceNzqSezvumsebvdQzchzrddZ4iwb0T3GOAS1hR00gJisVenB+xzMz8FGwxeHOBPNfQE8KHY6zXBy4qqtN26+gFbo2DWaj8AjArkqIEZTEW2k1qxvR6uyACONNAt4HaQnxRwBKpoLClVAUYtSCAVN5IdAcqRR3UYTXpQ2DFPMQ/f9s6mCKEl7iVuccKr8RgkE/a5paLFr3H3YLi1GVOEJwgQ9ap08y1uwqVsbPgkKXKFzfTZtIz1180HKK1yY5Ss8rSTEBt3rvS2LSd1uzTNfDS3KwntpQQqAdL+ybPKIL1ldIdYLOnfg0n9GCubtUKTg0FQBt8Ygn9f+YrG3OoGFr37MszkqghFoHXsm4jKRyBIFVQfTNPHWOlM7QnZBApI9i4eFywmyCqhG7prE8Q6ee94JXj5VapxfumfoYnCBdSIQaFWgZvmYSvsui5QSbQKQcxjM6dmaJAla3Q5dHunPhXOnYQTU0Je/Q0vr8mKAVodYK50u7t45BAC8+sbXUNDENJtO0SEzSmsMOH2hhkVe9xIlQ8BrkSwgrEvkYeB9OZRWqOjntJAjpKdwrk1ThrLW07FLZpqSLmO+vAeuvRrwMqEqBa3qns2CSZ7VPgmJ4xDK0wTLxda5x0noBYS+lM1kpKyBICxKYDQq7Ur2kY1RX35jjBcX08x6jJO1thF+1NqXm4FHqahPihQGZuYWyLIoMaN+eBhHiGnB0BY+EWp32tgmdofJc5QZPVhB4rFVPIoxJY8iC+HF/kbjMQLymno4HELVbBYZY54R/qOzgVS6vm5e5Cgi9xsuh5c4IdbYbHCO9XI548n/9Ef/4RElWEMMo51uD2+89iX3ne0WhnQNODi6pIh6eO8Qb3/0PgBAMeZLxleuHGA6du2MhIcNg0YKbGy4hVJBeyXQ0WjsMTm9Vhsduq5g8K0ri8afqNNpY5NKtMA/euI5hmGIiJI0DY2KmBitJIIELda2REleO0ZZgNo3rbCLnJ6zuNNGRFTVuKy8om9R5lhbowURBXqe9Vh549nOWoiqtsmqykY5olQYEx6mt9ZDQs/QpMjxadj3YcShNXldVRazab0R6SFO6/cVVG0AyhjWaBK89/AcP/zJzwAAb3z9q4jX3LUaX1yi13afCUqNw7uOJTkcW7z8yhcBANPZCHrssIqxyTAho7JxYZDS8/3SjWcA8vtpJWME1Iq6HNzG2aEbV68c7D/xHK3RzWaRwW+2OI88u0bI0C+EZaGcOCqAUutGmDEKPMNLV8on4ffvDfxcGKUp5pRORMEWQDg+bizKWn4DHKaWVljQAjeV9sa41hjvX/akSAOLrG73wCCiDWEsGFI6j1AatGhO7ESyVhzAzHB8nLmxliDFJrHN8lDhFxcuiXsBHewSCzdWAn1KijvS4C5hlB7YMRK6xjdFghuKNoqzMcJaB1NwdOj4KdfY+qUtkl8eUcjR65BHVT9EFBCL1bb85qZmigJufq+q2suw2cQ5dl3T0lJevbkE57SGMQbOCXslBBA0G6yAcLFClJAB88cJKEFKAuGLC2uphOTLP4zqcoY15taDzWgbihiN/bCNqzsOy9uKtpAXlKSPLjAdEGTh8gxH2iUqnbVNdEkwcG9nF6AxPp2NkRG2Kp+NoVTTnk1j17JstbtISQg4jAwUzW3zgkPTHG+qEkHg5tooShEEj7+Pq5bWKlaxilWsYhWr+MzHYys8b37vr/DjN/8PAODw9odIE5d5jS4u8NMfOm+NV1//Taz1HEDMLLSSNDjmtANk07kXTROCQ1Cm1okiaAJGFZX1zCMhBSICBufKevdiAwZbCw/KwPsnKcUReNCe9Nocy8R0ohdAgcyDbBn9zx1TeD0ccAZmarEoeE0IxiSUbTRWfHvD8gU/MoU4qnVPOBQx2lggvGs8A/dtEsYYZC3vzvmCQBhbADk/OUyZIRBuJ2QtMCSdA26ArKzFt2IPjtvYWEebWnIC8C7UKuAeJMolR1m4HcDZ4ASDoduZlaigqUL1cDoBJwdoqxUKGh9bcYp4zVVJOkz4HelsWqB71QFAi2yMIVvuPn7+lee8c/v2zjZuk9haKiT2r7n3B8MLJHR+raSNbOSArOlGjC/2HWutVAq33rlFn7+PM2IRlGVTMQyDEPHAHUfrwgOYXSvG3bczIX2rJcsyrw3R7vQhaMd1++gDXylaJriQmBIotxu2oMifLQjgy9YJ197fDJlCHLnnNQ01EmoPal14kc6000JNJFEVUFFF9ukX9nCD2gO3PzpDRdWh7d01JFfd/RTc4OSeq3jYCpjTbm3w4NQzucJ2DM6WB0pu9PrIadwVRQlF7JQ0DsGsex0nLWjlXk9nFWrj5u/+9VuYk6eRYAGmE2Iflgxx5SoCs5HCBbXlt3ctxqc0l5RTzO9/6H7/xUP0dpz30tWNTUTUZpcokYPaHgwwVCXThcJ6d3kXav1IlZb7eWIyncAYqsIlgdf/mU6mzgoCQLfTQUXXdp6Vfj4IZICchE4HgyGeJXf7LJt7cULBQ9h6umcLmlGwfgwv6u5wwf38Z5R5pLr8uIhFBTBickJA0jhNJUNLumOEsmoq1DL0q9DIVLxy1hQAAATZSURBVJhQBeBclRiQ7lGaWGgigTwcZXg5cevN5hS4y1zl4YE0GLTcs1UGEnfJ/y1HD9ukJ1NUAS6JJ5AHFkP6CVaV2BPL60WlSYj1HsEyrEE/I3JOEHqGn9baV2wWdWP4goijkNJ/3iw4sNdisPX7Xk5Ua78WllUJKdx14DL0jDCtGhaYlAIRVX62N2L028tboDy3fRNdslKJRAJBrcaL+QiKqlTzQQfFkdPJScpN2BFZmkxnKKgFeXl4D/ae+9s4kB5i0O6kaJNH3P7+HgJqSyllPFPWMu4zijyvEOdujEswxDSvGBb6Np/ic2j1+HXxsXf53p3bOPzYeWUMLy8wFW5w/cl//2/4yutfAwB8+bd+u6Es2gaTw8BQ0U3OuUTManYVgy4yel2C29qM0HpEfyWMb0sZ3QwEYy0q6gMrYSB40+dWVJpXOvhUDCatFx9+7r9XBqEXVjManrEQhCECoj1XRnkYRlZkqOqEB9KbmMVhDFMbOgqOoFa+Uk1ik6vSs2gC3hhhwnrGJiQTYMQyEkJ4lellojLGY3WEEAhIpGqeZxhdOAG+JInRIgPCWTlFRGJqlao8FV0r48UneSD9ZF3ZEnO4wdi70sec+tWT0QVELYJVll49tjIZstwlS2HURkUP/eDyFKcDx4QxpkAcLzcJXQ4vYEh0rp0GkJRg3j78BB1ioVkFx+0H0EkY0g23cLP1BDm18g4P7+KMJtkizxqafqX9a55nwKReGAxSav3lReUZWMYalFM3xo1WMFSenlcD33rIixKCvneZOL+8QJ8mfRsqMCptp2kL/Z7D3kRJjKJWaxUCjFqIFQZIaKKZz4b+OiTRJkJqzfS6EW4+75JD3o4QE2bmuat70GQqWqk55mN3XggCcCpVp50OWpSQjCdjlHPqx8cR2tHyk2y31UaHkkNrrVfgVlUBQ6JpVhdOVRGAkBoPHro5aXP7GvYPHD08lAnmmfsNg0GOGe28uszg115yyUySWIj8CADAZhqnH7uWVpln2OpSIjGdwErCZ+ASQbvGmnXAKanvBRGUWB6nxBhbENe0vv0AWI+94KJRl48i6cXpwkj61oW1GqaeO5nA0V2XyO1ubWCNVNKNVURfd0lxnbTYhcV1MRYpvlLIhQ2lWjrh4cx68VkY65MyyRUSWS98FvVSppmCpmu8o0Jo+u33RYxhzbyVHC8xN367dgZD+gDtZA2H1j1Dl/NL9Nbc4vvi9p6fl/m5Qo26jFiAhHqySdTBYJ1wk0WFvlk+MV9rR3j6wI39jW6Msqw3Zo9S+Y1n2jXXmnPRYEMtayRXFhJPpZR/XxvtEx5mrd8Ag8GvtRbMCxXCLiau1rdD1zoBttaXgwgAwFdf/A20qZ107/Autrdc+/3BcIQHx+6ZszpEwlzSZSUDW6MEtdXCnBKP8bRESYk8h8XFcEzvj9Gm5+kyStAlMdR+bwOtNWpBx7HHsM7nc2Q0p2ajGSKCUIQyRJS456/VDiHjx883q5bWKlaxilWsYhWr+MwHe5JQzypWsYpVrGIVq1jF/++xqvCsYhWrWMUqVrGKz3ysEp5VrGIVq1jFKlbxmY9VwrOKVaxiFatYxSo+87FKeFaxilWsYhWrWMVnPlYJzypWsYpVrGIVq/jMxyrhWcUqVrGKVaxiFZ/5+L/ZdjEs+trKTAAAAABJRU5ErkJggg==\n","text/plain":["<Figure size 720x576 with 70 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"code","metadata":{"tags":["pdf-ignore"],"colab":{"base_uri":"https://localhost:8080/"},"id":"QaPttVcXrApU","executionInfo":{"status":"ok","timestamp":1611251027257,"user_tz":-60,"elapsed":1067,"user":{"displayName":"Soufian Benamara","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64","userId":"08596286217915945464"}},"outputId":"095f731b-9676-475d-b030-324e42d81e2c"},"source":["# Split the data into train, val, and test sets. In addition we will\n","# create a small development set as a subset of the training data;\n","# we can use this for development so our code runs faster.\n","num_training = 49000\n","num_validation = 1000\n","num_test = 1000\n","num_dev = 500\n","\n","# Our validation set will be num_validation points from the original\n","# training set.\n","mask = range(num_training, num_training + num_validation)\n","X_val = X_train[mask]\n","y_val = y_train[mask]\n","\n","# Our training set will be the first num_train points from the original\n","# training set.\n","mask = range(num_training)\n","X_train = X_train[mask]\n","y_train = y_train[mask]\n","\n","# We will also make a development set, which is a small subset of\n","# the training set.\n","mask = np.random.choice(num_training, num_dev, replace=False)\n","X_dev = X_train[mask]\n","y_dev = y_train[mask]\n","\n","# We use the first num_test points of the original test set as our\n","# test set.\n","mask = range(num_test)\n","X_test = X_test[mask]\n","y_test = y_test[mask]\n","\n","print('Train data shape: ', X_train.shape)\n","print('Train labels shape: ', y_train.shape)\n","print('Validation data shape: ', X_val.shape)\n","print('Validation labels shape: ', y_val.shape)\n","print('Test data shape: ', X_test.shape)\n","print('Test labels shape: ', y_test.shape)"],"execution_count":null,"outputs":[{"output_type":"stream","text":["Train data shape:  (49000, 32, 32, 3)\n","Train labels shape:  (49000,)\n","Validation data shape:  (1000, 32, 32, 3)\n","Validation labels shape:  (1000,)\n","Test data shape:  (1000, 32, 32, 3)\n","Test labels shape:  (1000,)\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"tags":["pdf-ignore"],"colab":{"base_uri":"https://localhost:8080/"},"id":"sPsNEa-CrApU","executionInfo":{"status":"ok","timestamp":1611251035090,"user_tz":-60,"elapsed":964,"user":{"displayName":"Soufian Benamara","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64","userId":"08596286217915945464"}},"outputId":"67ba492d-e197-455b-aed0-f6bdaaebca09"},"source":["# Preprocessing: reshape the image data into rows\n","X_train = np.reshape(X_train, (X_train.shape[0], -1))\n","X_val = np.reshape(X_val, (X_val.shape[0], -1))\n","X_test = np.reshape(X_test, (X_test.shape[0], -1))\n","X_dev = np.reshape(X_dev, (X_dev.shape[0], -1))\n","\n","# As a sanity check, print out the shapes of the data\n","print('Training data shape: ', X_train.shape)\n","print('Validation data shape: ', X_val.shape)\n","print('Test data shape: ', X_test.shape)\n","print('dev data shape: ', X_dev.shape)"],"execution_count":null,"outputs":[{"output_type":"stream","text":["Training data shape:  (49000, 3072)\n","Validation data shape:  (1000, 3072)\n","Test data shape:  (1000, 3072)\n","dev data shape:  (500, 3072)\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"tags":["pdf-ignore-input"],"colab":{"base_uri":"https://localhost:8080/","height":315},"id":"wInjX_0grApU","executionInfo":{"status":"ok","timestamp":1611251069270,"user_tz":-60,"elapsed":2214,"user":{"displayName":"Soufian Benamara","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64","userId":"08596286217915945464"}},"outputId":"6e0f806d-051c-43db-d794-04111f303b3e"},"source":["# Preprocessing: subtract the mean image\n","# first: compute the image mean based on the training data\n","mean_image = np.mean(X_train, axis=0)\n","print(mean_image[:10]) # print a few of the elements\n","plt.figure(figsize=(4,4))\n","plt.imshow(mean_image.reshape((32,32,3)).astype('uint8')) # visualize the mean image\n","plt.show()\n","\n","# second: subtract the mean image from train and test data\n","X_train -= mean_image\n","X_val -= mean_image\n","X_test -= mean_image\n","X_dev -= mean_image\n","\n","# third: append the bias dimension of ones (i.e. bias trick) so that our SVM\n","# only has to worry about optimizing a single weight matrix W.\n","X_train = np.hstack([X_train, np.ones((X_train.shape[0], 1))])\n","X_val = np.hstack([X_val, np.ones((X_val.shape[0], 1))])\n","X_test = np.hstack([X_test, np.ones((X_test.shape[0], 1))])\n","X_dev = np.hstack([X_dev, np.ones((X_dev.shape[0], 1))])\n","\n","print(X_train.shape, X_val.shape, X_test.shape, X_dev.shape)"],"execution_count":null,"outputs":[{"output_type":"stream","text":["[130.64189796 135.98173469 132.47391837 130.05569388 135.34804082\n"," 131.75402041 130.96055102 136.14328571 132.47636735 131.48467347]\n"],"name":"stdout"},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 288x288 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}},{"output_type":"stream","text":["(49000, 3073) (1000, 3073) (1000, 3073) (500, 3073)\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"Gq_Y0R_2rApV"},"source":["## SVM Classifier\n","\n","Your code for this section will all be written inside `cs231n/classifiers/linear_svm.py`. \n","\n","As you can see, we have prefilled the function `svm_loss_naive` which uses for loops to evaluate the multiclass SVM loss function. "]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"S-_CZtBxrApW","executionInfo":{"status":"ok","timestamp":1611251111283,"user_tz":-60,"elapsed":965,"user":{"displayName":"Soufian Benamara","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64","userId":"08596286217915945464"}},"outputId":"97a41624-7cbe-42d3-a9c2-e429651a5a70"},"source":["# Evaluate the naive implementation of the loss we provided for you:\n","from cs231n.classifiers.linear_svm import svm_loss_naive\n","import time\n","\n","# generate a random SVM weight matrix of small numbers\n","W = np.random.randn(3073, 10) * 0.0001 \n","\n","loss, grad = svm_loss_naive(W, X_dev, y_dev, 0.000005)\n","print('loss: %f' % (loss, ))"],"execution_count":null,"outputs":[{"output_type":"stream","text":["loss: 8.554036\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"UphFvsMIrApW"},"source":["The `grad` returned from the function above is right now all zero. Derive and implement the gradient for the SVM cost function and implement it inline inside the function `svm_loss_naive`. You will find it helpful to interleave your new code inside the existing function.\n","\n","To check that you have correctly implemented the gradient correctly, you can numerically estimate the gradient of the loss function and compare the numeric estimate to the gradient that you computed. We have provided code that does this for you:"]},{"cell_type":"code","metadata":{"id":"cVocVjzprApW","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1611253271043,"user_tz":-60,"elapsed":3888,"user":{"displayName":"Soufian Benamara","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64","userId":"08596286217915945464"}},"outputId":"dfd27ce9-1787-4c24-842b-51f11993181c"},"source":["# Once you've implemented the gradient, recompute it with the code below\n","# and gradient check it with the function we provided for you\n","\n","# Compute the loss and its gradient at W.\n","loss, grad = svm_loss_naive(W, X_dev, y_dev, 0.0)\n","\n","# Numerically compute the gradient along several randomly chosen dimensions, and\n","# compare them with your analytically computed gradient. The numbers should match\n","# almost exactly along all dimensions.\n","from cs231n.gradient_check import grad_check_sparse\n","f = lambda w: svm_loss_naive(w, X_dev, y_dev, 0.0)[0]\n","grad_numerical = grad_check_sparse(f, W, grad)\n","\n","# do the gradient check once again with regularization turned on\n","# you didn't forget the regularization gradient did you?\n","loss, grad = svm_loss_naive(W, X_dev, y_dev, 5e1)\n","f = lambda w: svm_loss_naive(w, X_dev, y_dev, 5e1)[0]\n","grad_numerical = grad_check_sparse(f, W, grad)"],"execution_count":null,"outputs":[{"output_type":"stream","text":["numerical: 1.735943 analytic: 1.735943, relative error: 2.546403e-11\n","numerical: 1.969912 analytic: 1.969912, relative error: 6.957576e-11\n","numerical: -19.355156 analytic: -19.368472, relative error: 3.438549e-04\n","numerical: 1.630683 analytic: 1.617796, relative error: 3.967039e-03\n","numerical: -31.188028 analytic: -31.188028, relative error: 2.284121e-12\n","numerical: 28.790454 analytic: 28.790454, relative error: 2.898519e-12\n","numerical: 7.179887 analytic: 7.179887, relative error: 3.229984e-11\n","numerical: 5.550338 analytic: 5.594092, relative error: 3.926088e-03\n","numerical: -3.377969 analytic: -3.404995, relative error: 3.984486e-03\n","numerical: 23.760184 analytic: 23.760184, relative error: 7.204207e-12\n","numerical: 14.762578 analytic: 14.762578, relative error: 1.433315e-11\n","numerical: -8.207555 analytic: -8.207555, relative error: 3.930879e-11\n","numerical: 5.744252 analytic: 5.744252, relative error: 4.948586e-11\n","numerical: 0.968367 analytic: 0.968367, relative error: 7.908199e-11\n","numerical: 6.322339 analytic: 6.322339, relative error: 2.243296e-12\n","numerical: 1.218070 analytic: 1.221719, relative error: 1.495664e-03\n","numerical: 0.783677 analytic: 0.783677, relative error: 3.093583e-10\n","numerical: 15.111420 analytic: 15.111420, relative error: 4.839265e-12\n","numerical: 28.604320 analytic: 28.603861, relative error: 8.026854e-06\n","numerical: -12.510152 analytic: -12.510152, relative error: 6.623274e-13\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"tags":["pdf-inline"],"id":"KbH9kF2jrApX"},"source":["**Inline Question 1**\n","\n","It is possible that once in a while a dimension in the gradcheck will not match exactly. What could such a discrepancy be caused by? Is it a reason for concern? What is a simple example in one dimension where a gradient check could fail? How would change the margin affect of the frequency of this happening? *Hint: the SVM loss function is not strictly speaking differentiable*\n","\n","$\\color{blue}{\\textit Your Answer:}$\n","- Such a discrepancy can be caused by the fact that the given loss formula is not differentiable at some point. So, the analogical derivate of the loss formula is approximated at that point. And that causes the gap between the numerical gradient and the analogical one (in that dimension).\n","\n","- No, it is not a reason to concern, since this value (in which, the loss function is not differentiable) is an exception, i.e., occurs rarely in practice.\n","\n","- An example in which a gradient check could fail:\n","\n","Well, I'll explain this regarding my comprehension (which could be wrong).\n","\n","As known, $f(x) = \\max(0, x)$ is not differentiable at $(x = 0)$. See the explanation [here](https://math.stackexchange.com/a/1329266).\n","\n","For the SVM loss (for a signle datapoint x):\n","$L = \\sum_{j\\neq y} \\left[ \\max(0, w_j^Tx - w_{y}^Tx + \\Delta) \\right]$, with $\\Delta = 1$\n","\n","That formula is not differentiable when:\n","$w_j^Tx - w_{y}^Tx + \\Delta = 0$\n","\n","A simple example could be: $w=[-2, -1]$ (The are only two classes), $x=[1]$ and $y=1$ (The correct class is 1).\n","\n","**Proof:**\n","\n","We have: $w \\cdot x = [-2, -1]$, by substituting the result in the loss formula part which causes that it will be not differentiable:\n","$w_j^Tx - w_{y_i}^Tx + \\Delta = 0 \\Longleftrightarrow -2 - (-1) + 1 = 0$\n","\n","**Q.E.D.**\n"]},{"cell_type":"code","metadata":{"id":"vectorized_time_1","scrolled":true,"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1611253961142,"user_tz":-60,"elapsed":719,"user":{"displayName":"Soufian Benamara","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64","userId":"08596286217915945464"}},"outputId":"daac6149-99db-4c2f-f551-2107650c8062"},"source":["# Next implement the function svm_loss_vectorized; for now only compute the loss;\n","# we will implement the gradient in a moment.\n","tic = time.time()\n","loss_naive, grad_naive = svm_loss_naive(W, X_dev, y_dev, 0.000005)\n","toc = time.time()\n","print('Naive loss: %e computed in %fs' % (loss_naive, toc - tic))\n","\n","from cs231n.classifiers.linear_svm import svm_loss_vectorized\n","tic = time.time()\n","loss_vectorized, _ = svm_loss_vectorized(W, X_dev, y_dev, 0.000005)\n","toc = time.time()\n","print('Vectorized loss: %e computed in %fs' % (loss_vectorized, toc - tic))\n","\n","# The losses should match but your vectorized implementation should be much faster.\n","print('difference: %f' % (loss_naive - loss_vectorized))"],"execution_count":null,"outputs":[{"output_type":"stream","text":["Naive loss: 8.554036e+00 computed in 0.108015s\n","Vectorized loss: 8.554036e+00 computed in 0.010636s\n","difference: 0.000000\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"vectorized_time_2","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1611253975715,"user_tz":-60,"elapsed":738,"user":{"displayName":"Soufian Benamara","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64","userId":"08596286217915945464"}},"outputId":"9edd783c-14c8-4a9d-963a-bb1412316268"},"source":["# Complete the implementation of svm_loss_vectorized, and compute the gradient\n","# of the loss function in a vectorized way.\n","\n","# The naive implementation and the vectorized implementation should match, but\n","# the vectorized version should still be much faster.\n","tic = time.time()\n","_, grad_naive = svm_loss_naive(W, X_dev, y_dev, 0.000005)\n","toc = time.time()\n","print('Naive loss and gradient: computed in %fs' % (toc - tic))\n","\n","tic = time.time()\n","_, grad_vectorized = svm_loss_vectorized(W, X_dev, y_dev, 0.000005)\n","toc = time.time()\n","print('Vectorized loss and gradient: computed in %fs' % (toc - tic))\n","\n","# The loss is a single number, so it is easy to compare the values computed\n","# by the two implementations. The gradient on the other hand is a matrix, so\n","# we use the Frobenius norm to compare them.\n","difference = np.linalg.norm(grad_naive - grad_vectorized, ord='fro')\n","print('difference: %f' % difference)"],"execution_count":null,"outputs":[{"output_type":"stream","text":["Naive loss and gradient: computed in 0.082311s\n","Vectorized loss and gradient: computed in 0.010278s\n","difference: 0.000000\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"k3fqv7UFrApY"},"source":["### Stochastic Gradient Descent\n","\n","We now have vectorized and efficient expressions for the loss, the gradient and our gradient matches the numerical gradient. We are therefore ready to do SGD to minimize the loss. Your code for this part will be written inside `cs231n/classifiers/linear_classifier.py`."]},{"cell_type":"code","metadata":{"id":"sgd","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1611254017083,"user_tz":-60,"elapsed":7820,"user":{"displayName":"Soufian Benamara","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64","userId":"08596286217915945464"}},"outputId":"bc097e2b-dbb5-4815-ef70-070423dd7923"},"source":["# In the file linear_classifier.py, implement SGD in the function\n","# LinearClassifier.train() and then run it with the code below.\n","from cs231n.classifiers import LinearSVM\n","svm = LinearSVM()\n","tic = time.time()\n","loss_hist = svm.train(X_train, y_train, learning_rate=1e-7, reg=2.5e4,\n","                      num_iters=1500, verbose=True)\n","toc = time.time()\n","print('That took %fs' % (toc - tic))"],"execution_count":null,"outputs":[{"output_type":"stream","text":["iteration 0 / 1500: loss 790.962547\n","iteration 100 / 1500: loss 287.988371\n","iteration 200 / 1500: loss 108.396316\n","iteration 300 / 1500: loss 43.115256\n","iteration 400 / 1500: loss 19.422012\n","iteration 500 / 1500: loss 10.192382\n","iteration 600 / 1500: loss 7.556665\n","iteration 700 / 1500: loss 6.094012\n","iteration 800 / 1500: loss 5.343716\n","iteration 900 / 1500: loss 5.457795\n","iteration 1000 / 1500: loss 5.168294\n","iteration 1100 / 1500: loss 5.935574\n","iteration 1200 / 1500: loss 5.168808\n","iteration 1300 / 1500: loss 5.192995\n","iteration 1400 / 1500: loss 4.960080\n","That took 6.312145s\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"sJ8ImuGsrApY","colab":{"base_uri":"https://localhost:8080/","height":496},"executionInfo":{"status":"ok","timestamp":1611254036556,"user_tz":-60,"elapsed":711,"user":{"displayName":"Soufian Benamara","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64","userId":"08596286217915945464"}},"outputId":"dccdf610-9af3-4560-b43c-118c14df7af1"},"source":["# A useful debugging strategy is to plot the loss as a function of\n","# iteration number:\n","plt.plot(loss_hist)\n","plt.xlabel('Iteration number')\n","plt.ylabel('Loss value')\n","plt.show()"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 720x576 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"code","metadata":{"id":"validate","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1611254044573,"user_tz":-60,"elapsed":2517,"user":{"displayName":"Soufian Benamara","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64","userId":"08596286217915945464"}},"outputId":"afa2703b-b830-400b-b8cd-959bdb4a4b2a"},"source":["# Write the LinearSVM.predict function and evaluate the performance on both the\n","# training and validation set\n","y_train_pred = svm.predict(X_train)\n","print('training accuracy: %f' % (np.mean(y_train == y_train_pred), ))\n","y_val_pred = svm.predict(X_val)\n","print('validation accuracy: %f' % (np.mean(y_val == y_val_pred), ))"],"execution_count":null,"outputs":[{"output_type":"stream","text":["training accuracy: 0.366449\n","validation accuracy: 0.388000\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"tuning","tags":["code"],"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1611254160584,"user_tz":-60,"elapsed":26400,"user":{"displayName":"Soufian Benamara","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64","userId":"08596286217915945464"}},"outputId":"e03bc687-69f0-4261-eef8-023d30dddf27"},"source":["# Use the validation set to tune hyperparameters (regularization strength and\n","# learning rate). You should experiment with different ranges for the learning\n","# rates and regularization strengths; if you are careful you should be able to\n","# get a classification accuracy of about 0.39 on the validation set.\n","\n","# Note: you may see runtime/overflow warnings during hyper-parameter search. \n","# This may be caused by extreme values, and is not a bug.\n","\n","# results is dictionary mapping tuples of the form\n","# (learning_rate, regularization_strength) to tuples of the form\n","# (training_accuracy, validation_accuracy). The accuracy is simply the fraction\n","# of data points that are correctly classified.\n","results = {}\n","best_val = -1   # The highest validation accuracy that we have seen so far.\n","best_svm = None # The LinearSVM object that achieved the highest validation rate.\n","\n","################################################################################\n","# TODO:                                                                        #\n","# Write code that chooses the best hyperparameters by tuning on the validation #\n","# set. For each combination of hyperparameters, train a linear SVM on the      #\n","# training set, compute its accuracy on the training and validation sets, and  #\n","# store these numbers in the results dictionary. In addition, store the best   #\n","# validation accuracy in best_val and the LinearSVM object that achieves this  #\n","# accuracy in best_svm.                                                        #\n","#                                                                              #\n","# Hint: You should use a small value for num_iters as you develop your         #\n","# validation code so that the SVMs don't take much time to train; once you are #\n","# confident that your validation code works, you should rerun the validation   #\n","# code with a larger value for num_iters.                                      #\n","################################################################################\n","\n","# Provided as a reference. You may or may not want to change these hyperparameters\n","learning_rates = [1e-7] # Modified\n","regularization_strengths = [7.5e3, 5e3, 2.5e3] # Modified\n","\n","# *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n","\n","for lr in learning_rates:\n","  for rs in regularization_strengths:\n","    svm = LinearSVM()\n","    loss_hist = svm.train(X_train, y_train, learning_rate=lr, reg=rs,\n","                          num_iters=2000, verbose=False)\n","\n","    y_train_pred = svm.predict(X_train)\n","    training_accuracy = np.mean(y_train == y_train_pred)\n","\n","    y_val_pred = svm.predict(X_val)\n","    validation_accuracy = np.mean(y_val == y_val_pred)\n","\n","    results[(lr, rs)] = (training_accuracy, validation_accuracy)\n","\n","    if validation_accuracy > best_val:\n","      best_val = validation_accuracy\n","      best_svm = svm\n","\n","# *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n","    \n","# Print out results.\n","for lr, reg in sorted(results):\n","    train_accuracy, val_accuracy = results[(lr, reg)]\n","    print('lr %e reg %e train accuracy: %f val accuracy: %f' % (\n","                lr, reg, train_accuracy, val_accuracy))\n","    \n","print('best validation accuracy achieved during cross-validation: %f' % best_val)"],"execution_count":null,"outputs":[{"output_type":"stream","text":["lr 1.000000e-07 reg 2.500000e+03 train accuracy: 0.362571 val accuracy: 0.377000\n","lr 1.000000e-07 reg 5.000000e+03 train accuracy: 0.382959 val accuracy: 0.382000\n","lr 1.000000e-07 reg 7.500000e+03 train accuracy: 0.386612 val accuracy: 0.393000\n","best validation accuracy achieved during cross-validation: 0.393000\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"tags":["pdf-ignore-input"],"id":"Rk0tzzKJrApZ","colab":{"base_uri":"https://localhost:8080/","height":590},"executionInfo":{"status":"ok","timestamp":1611254201506,"user_tz":-60,"elapsed":1863,"user":{"displayName":"Soufian Benamara","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64","userId":"08596286217915945464"}},"outputId":"f905110a-2197-44f7-8f9d-cfaea66706db"},"source":["# Visualize the cross-validation results\n","import math\n","import pdb\n","\n","# pdb.set_trace()\n","\n","x_scatter = [math.log10(x[0]) for x in results]\n","y_scatter = [math.log10(x[1]) for x in results]\n","\n","# plot training accuracy\n","marker_size = 100\n","colors = [results[x][0] for x in results]\n","plt.subplot(2, 1, 1)\n","plt.tight_layout(pad=3)\n","plt.scatter(x_scatter, y_scatter, marker_size, c=colors, cmap=plt.cm.coolwarm)\n","plt.colorbar()\n","plt.xlabel('log learning rate')\n","plt.ylabel('log regularization strength')\n","plt.title('CIFAR-10 training accuracy')\n","\n","# plot validation accuracy\n","colors = [results[x][1] for x in results] # default size of markers is 20\n","plt.subplot(2, 1, 2)\n","plt.scatter(x_scatter, y_scatter, marker_size, c=colors, cmap=plt.cm.coolwarm)\n","plt.colorbar()\n","plt.xlabel('log learning rate')\n","plt.ylabel('log regularization strength')\n","plt.title('CIFAR-10 validation accuracy')\n","plt.show()"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 720x576 with 4 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"code","metadata":{"id":"test","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1611254241689,"user_tz":-60,"elapsed":1131,"user":{"displayName":"Soufian Benamara","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64","userId":"08596286217915945464"}},"outputId":"c7316be2-9b39-4d41-a647-cbc54cfaa5d4"},"source":["# Evaluate the best svm on test set\n","y_test_pred = best_svm.predict(X_test)\n","test_accuracy = np.mean(y_test == y_test_pred)\n","print('linear SVM on raw pixels final test set accuracy: %f' % test_accuracy)"],"execution_count":null,"outputs":[{"output_type":"stream","text":["linear SVM on raw pixels final test set accuracy: 0.372000\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"tags":["pdf-ignore-input"],"id":"igUC5XgirApZ","colab":{"base_uri":"https://localhost:8080/","height":380},"executionInfo":{"status":"ok","timestamp":1611254252865,"user_tz":-60,"elapsed":3529,"user":{"displayName":"Soufian Benamara","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64","userId":"08596286217915945464"}},"outputId":"58078a2d-7cd2-4717-cf48-87aa64c605b7"},"source":["# Visualize the learned weights for each class.\n","# Depending on your choice of learning rate and regularization strength, these may\n","# or may not be nice to look at.\n","w = best_svm.W[:-1,:] # strip out the bias\n","w = w.reshape(32, 32, 3, 10)\n","w_min, w_max = np.min(w), np.max(w)\n","classes = ['plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\n","for i in range(10):\n","    plt.subplot(2, 5, i + 1)\n","      \n","    # Rescale the weights to be between 0 and 255\n","    wimg = 255.0 * (w[:, :, :, i].squeeze() - w_min) / (w_max - w_min)\n","    plt.imshow(wimg.astype('uint8'))\n","    plt.axis('off')\n","    plt.title(classes[i])"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 720x576 with 10 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"markdown","metadata":{"tags":["pdf-inline"],"id":"NHk3CsHkrApa"},"source":["**Inline question 2**\n","\n","Describe what your visualized SVM weights look like, and offer a brief explanation for why they look they way that they do.\n","\n","$\\color{blue}{\\textit Your Answer:}$ The visualized SVM weights look like a group of quasi-random, non-heterogeneous, pixels. However, we can still identify certain objects, such as the car, the horse or the ship (which forms a bluish image, representing the sea). This is due to the optimization process, which attempts to form a “generalized image” that represents all the training samples of each class, by constantly updating the original weights. \n"]},{"cell_type":"markdown","metadata":{"id":"g1QbM8DfrApa"},"source":["---\n","# IMPORTANT\n","\n","This is the end of this question. Please do the following:\n","\n","1. Click `File -> Save` to make sure the latest checkpoint of this notebook is saved to your Drive.\n","2. Execute the cell below to download the modified `.py` files back to your drive."]},{"cell_type":"code","metadata":{"id":"8a5_dOrzrApa"},"source":["import os\n","\n","FOLDER_TO_SAVE = os.path.join('drive/My Drive/', FOLDERNAME)\n","FILES_TO_SAVE = ['cs231n/classifiers/linear_svm.py', 'cs231n/classifiers/linear_classifier.py']\n","\n","for files in FILES_TO_SAVE:\n","  with open(os.path.join(FOLDER_TO_SAVE, '/'.join(files.split('/')[1:])), 'w') as f:\n","    f.write(''.join(open(files).readlines()))"],"execution_count":null,"outputs":[]}]}